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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2025.1686709</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Public understanding of medical cannabis in Poland 7 years after legalization: findings from a cross-sectional study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Silczuk</surname>
<given-names>Andrzej</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2762168/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Jankowski</surname>
<given-names>Mateusz</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1088670/overview"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Mularczyk-Tomczewska</surname>
<given-names>Paulina</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1970074/overview"/>
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<contrib contrib-type="author">
<name>
<surname>Olearczyk</surname>
<given-names>Agata</given-names>
</name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Baran</surname>
<given-names>Tomasz</given-names>
</name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Wrze&#x015B;niewska-Wal</surname>
<given-names>Iwona</given-names>
</name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Lewandowska</surname>
<given-names>Aleksandra</given-names>
</name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>&#x0141;o&#x015B;</surname>
<given-names>Magdalena</given-names>
</name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Department of Community Psychiatry, Faculty of Health Sciences, Medical University of Warsaw</institution>, <addr-line>Warsaw</addr-line>, <country>Poland</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Population Health School of Public Health Centre of Postgraduate Medical Education</institution>, <addr-line>Warsaw</addr-line>, <country>Poland</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Public Health, Faculty of Health Sciences, Medical University of Warsaw</institution>, <addr-line>Warsaw</addr-line>, <country>Poland</country></aff>
<aff id="aff4"><sup>4</sup><institution>Health Innovation Unit, SGH Warsaw School of Economics</institution>, <addr-line>Warsaw</addr-line>, <country>Poland</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Business Psychology and Social Innovation, University of Warsaw</institution>, <addr-line>Warsaw</addr-line>, <country>Poland</country></aff>
<aff id="aff6"><sup>6</sup><institution>School of Public Health Centre of Postgraduate Medical Education</institution>, <addr-line>Warsaw</addr-line>, <country>Poland</country></aff>
<aff id="aff7"><sup>7</sup><institution>J. Babinski Specialist Psychiatric Health Care Team, Psychiatric Ward of Children Lodz</institution>, <addr-line>&#x0141;&#x00F3;d&#x017A;</addr-line>, <country>Poland</country></aff>
<aff id="aff8"><sup>8</sup><institution>Department of Social Medicine and Public Health, Medical University of Warsaw</institution>, <addr-line>Warsaw</addr-line>, <country>Poland</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1247505/overview">Jorge Vasconez-Gonzalez</ext-link>, University of the Americas, Ecuador</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2253694/overview">Heather Barkholtz</ext-link>, University of Wisconsin-Madison, United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/659687/overview">Hanan Abramovici</ext-link>, Health Canada, Canada</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Paulina Mularczyk-Tomczewska, <email>paulina.mularczyk@wum.edu.pl</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>13</volume>
<elocation-id>1686709</elocation-id>
<history>
<date date-type="received">
<day>26</day>
<month>08</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Silczuk, Jankowski, Mularczyk-Tomczewska, Olearczyk, Baran, Wrze&#x015B;niewska-Wal, Lewandowska and &#x0141;o&#x015B;.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Silczuk, Jankowski, Mularczyk-Tomczewska, Olearczyk, Baran, Wrze&#x015B;niewska-Wal, Lewandowska and &#x0141;o&#x015B;</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Background</title>
<p>Medical cannabis has been legally available in Poland since 2017, yet its integration into routine clinical practice remains limited. This study investigates public attitudes toward medical cannabis, therapeutic awareness, and the perceived readiness of the healthcare system 7 years after legalization.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>A cross-sectional survey was conducted in July 2025 using the computer-assisted web interviewing (CAWI) method on a nationally representative sample of 1,113 adults (aged 18&#x2013;84). The questionnaire assessed opinions on the legalization of medical cannabis, willingness to undergo cannabinoid-based therapy, perceptions of physician and patient knowledge, and support for home cultivation under medical supervision. Multivariable logistic regression was used to identify sociodemographic predictors of key attitudes.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>A substantial majority of respondents supported the legalization of medical cannabis (81.1%) and expressed willingness to undergo treatment if medically indicated (84.3%). However, only 4.2% reported having received a recommendation for medical cannabis from a physician. Confidence in physicians&#x2019; (29.9%) and patients&#x2019; (16.1%) knowledge about medical cannabis was low. Oncological conditions (57.4%) and chronic pain (49.8%) were the most frequently recognized therapeutic indications. Support for home cultivation was associated with prior medical cannabis use, male gender, younger age, and urban residence. Older adults (&#x2265;50&#x202F;years) were more likely to support legalization, whereas those aged 30&#x2013;39 and individuals with moderate household income were less accepting.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>While public support for medical cannabis in Poland is high, its clinical implementation remains limited. Bridging this gap will require comprehensive educational initiatives and evidence-based guidelines to support healthcare professionals and inform patients.</p>
</sec>
</abstract>
<kwd-group>
<kwd>medical cannabis</kwd>
<kwd>legalization</kwd>
<kwd>therapeutic awareness</kwd>
<kwd>cannabinoid therapy</kwd>
<kwd>sociodemographic factors</kwd>
<kwd>patient education</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="7"/>
<equation-count count="0"/>
<ref-count count="42"/>
<page-count count="13"/>
<word-count count="8010"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Public Health Education and Promotion</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<label>1</label>
<title>Introduction</title>
<p>Medical cannabis has undergone a significant resurgence in global healthcare policy and practice. Despite its historical classification as a controlled substance under the 1961 United Nations Single Convention on Narcotic Drugs, which restricted its medical use across Europe, North America, the United Kingdom, and Australia, many countries have since implemented legislation legalizing cannabis based medicines and medical cannabis for therapeutic purposes (<xref ref-type="bibr" rid="ref1">1</xref>) and this shift reflects growing interest in the potential clinical benefits of cannabinoids.</p>
<p>This policy transformation has not only expanded therapeutic access but has also influenced population-level patterns of cannabis use worldwide (<xref ref-type="bibr" rid="ref2">2</xref>). A 2024 meta-analysis encompassing data from 33 European, 15 American, and 16 Asian countries demonstrated that jurisdictions with legalized medical or recreational cannabis exhibit markedly higher lifetime prevalence of cannabis use, 12.0% (95% CI: 10.0&#x2013;14.3), compared to 5.4% (95% CI: 4.3&#x2013;6.9) in non-legalized regions (<xref ref-type="bibr" rid="ref3">3</xref>). While systematic reviews suggest that cannabis based medicines and medical cannabis may provide modest relief for conditions such as anxiety, nausea, insomnia, and osteoarthritis related pain, the overall quality of supporting evidence remains heterogeneous, often limiting the strength of clinical recommendations.</p>
<p>In Poland, medical cannabis was legalized in November 2017 (with implementation in 2018), positioning the country among the earlier European adopters (<xref ref-type="bibr" rid="ref2">2</xref>). Seven years post legalization, a mixed methods study found that most patients perceive prescription access as relatively straightforward. Nonetheless, persistent concerns regarding treatment costs, product quality, and chemovar consistency remain prevalent (<xref ref-type="bibr" rid="ref4">4</xref>).</p>
<p>At the same time, data collected from clinicians highlight a different perspective: significant barriers to prescribing persist, largely related to systemic and educational gaps. Surveys indicate that over 60% of Polish physicians have received no formal training in cannabinoid based therapies, and more than 70% report feeling inadequately prepared to counsel patients on cannabis based medicines use (<xref ref-type="bibr" rid="ref2">2</xref>). Despite approximately 54% of physicians encountering patient inquiries about medical cannabis in the preceding 6 months, only around 8% have ever issued a prescription (<xref ref-type="bibr" rid="ref5">5</xref>). To date, no clinical trials conducted in Poland have definitively confirmed the efficacy and safety of medical cannabis for specific therapeutic indications; consequently, treatment decisions rely primarily on international evidence and the individual clinical judgment of prescribing physicians (<xref ref-type="bibr" rid="ref6">6</xref>). These findings underscore an urgent need for evidence based clinical guidelines and comprehensive educational initiatives to support safe and effective integration of medical cannabis into the routine medical care. The lack of strong, evidence-based clinical guidelines mainly reflects the limited number of high-quality randomized trials and real-world evidence studies on cannabis and cannabinoid therapies. Overcoming regulatory, commercial, and structural barriers to such research is crucial to build the evidence needed for guideline development, especially given the growing interest in their therapeutic potential across diverse indications (<xref ref-type="bibr" rid="ref7">7</xref>).</p>
<p>Based on current data from European reviews and monitoring reports, the prevalence of medical cannabis use and the number of prescriptions issued vary significantly across European countries. These differences reflect diverse regulatory frameworks, product availability, and levels of clinical awareness. In Germany, which has had one of the most advanced publicly reimbursed medical cannabis systems since 2017, the number of patients using medical cannabis increased from approximately 1,000 prior to legalization to over 60,000 in 2019, resulting in more than 185,000 prescriptions issued annually (<xref ref-type="bibr" rid="ref8">8</xref>). Similar trends have been observed in Italy, where national monitoring data (2013&#x2013;2019) indicate an increase from approximately 400 to nearly 13,000 patients per year, with over 26,000 prescriptions issued in 2019 (<xref ref-type="bibr" rid="ref8">8</xref>).</p>
<p>Comparative studies across European Union countries suggest that legality and availability do not automatically translate into widespread therapeutic use. Restrictive regulations, lack of reimbursement, and limited physician training continue to pose barriers to access. A review involving 17 European countries found that products such as nabiximols are relatively accessible, whereas the use of herbal cannabis remains hindered by legal and logistical obstacles (<xref ref-type="bibr" rid="ref9">9</xref>).</p>
<p>Additional data from the Liguria region of Italy demonstrate a steady increase in medical cannabis utilization following the implementation of an integrated clinical and organizational model that improved coordination between physicians, pharmacists, and regional health authorities (<xref ref-type="bibr" rid="ref10">10</xref>).</p>
<p>Exploring the divergence between clinical medical cannabis policies and legal frameworks across Europe is essential, as recent analysis shows that while some countries regulate cannabis strictly for medical purposes, they often maintain decriminalization rather than full legalization, highlighting a nuanced interplay that impacts patient access and regulatory oversight (<xref ref-type="bibr" rid="ref11">11</xref>).</p>
<p>Since the legalization of medical cannabis in Poland in 2017, the topic has gained growing visibility in clinical, regulatory, and societal debates. However, despite the increasing number of prescriptions and expanding therapeutic indications, little is known about how the Polish public understands and evaluates the role of cannabis-based therapies. The primary aim of this study was to assess public support for the therapeutic use of medical cannabis, including attitudes toward its legalization and individual readiness to undergo cannabinoid treatment.</p>
<p>A secondary objective was to explore public perceptions of risks, clinical awareness, patient rights, and professional knowledge related to medical cannabis.</p>
</sec>
<sec sec-type="materials|methods" id="sec6">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec7">
<label>2.1</label>
<title>Study design and sample characteristics</title>
<p>This study employed a cross-sectional design based on a structured survey distributed online to a representative sample of adult Polish residents. Data collection took place between 11th and 13th of July 2025, using the computer-assisted web interviewing (CAWI) technique. Respondents were recruited via the Ariadna online research panel, which comprises over 110,000 active members aged 18&#x202F;years and older and is routinely calibrated to reflect the demographic structure of the Polish population.</p>
<p>To ensure national representativeness, a stratified sampling procedure was used. The initial stratification divided the population into exclusive subgroups based on demographic criteria such as sex, age, type of residence, geographical region, and level of education. Sampling quotas were then matched to population data derived from Statistics Poland (G&#x0142;&#x00F3;wny Urz&#x0105;d Statystyczny, GUS), the official institution responsible for demographic and social statistics at the national and regional levels.</p>
<p>Participation in the survey was entirely voluntary, and all respondents provided informed consent prior to participation. The study team developed the conceptual framework and constructed the survey tool. Invitations were distributed individually by email, with a subsequent reminder sent via text message. The survey required completion of all items, ensuring a dataset without missing responses. The final response rate was approximately 22%. Data were collected anonymously and processed in accordance with ethical standards. The study protocol received ethical approval from the Bioethics Committee of the Medical University of Warsaw (approval no. AKBE/39/2025, dated: Febr. 24, 2025).</p>
</sec>
<sec id="sec8">
<label>2.2</label>
<title>Questionnaire and measures</title>
<p>The study instrument was a structured questionnaire developed specifically for this research, drawing on recent literature concerning medical cannabis policy, therapeutic use, and public health communication. The analytical scope was limited to seven closed-ended questions that addressed key domains relevant to public perception, therapeutic awareness, and health system readiness in relation to medical cannabis.</p>
<p>These items explored respondents&#x2019; evaluations of the 2017 legalization of medical cannabis in Poland, their willingness to use cannabinoid-based treatments if recommended by a physician, and concerns about potential unintended consequences such as increased recreational use. Further questions assessed knowledge of medical indications, support for home cultivation under clinical supervision, and perceptions of informational adequacy among both physicians and patients.</p>
<p>All items utilized a five-point Likert scale format (ranging from &#x201C;definitely not&#x201D; to &#x201C;definitely yes&#x201D;) or multiple-choice response sets. The questionnaire was pilot tested on non-medical adults from the general population for clarity, internal logic, and cultural appropriateness. Recent studies have employed a similar methodological approach (<xref ref-type="bibr" rid="ref12 ref13 ref14">12&#x2013;14</xref>). Minor modifications were introduced following cognitive debriefing to optimize comprehensibility. The final instrument required approximately 8&#x202F;min to complete.</p>
<p>Sociodemographic information collected from respondents included gender, age, educational attainment (primary, secondary, or higher), type and size of place of residence (rural area; town &#x003C;20,000; town 20,000&#x2013;99,999; city 100,000&#x2013;499,999; city &#x003E;500,000), and occupational status. These variables enabled stratified analysis of cannabis-related attitudes across population subgroups.</p>
</sec>
</sec>
<sec sec-type="results" id="sec9">
<label>3</label>
<title>Results</title>
<p>Completed questionnaires were received from 1,113 adults aged 18&#x2013;84&#x202F;years, 54.4% were females. Detailed characteristics of the study population are presented in <xref ref-type="table" rid="tab1">Table 1</xref>.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Characteristics of the study population (<italic>n</italic>&#x202F;=&#x202F;1,113).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="2">Variable</th>
<th align="center" valign="top">n</th>
<th align="center" valign="top">%</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">Gender</td>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">605</td>
<td align="center" valign="top">54.4</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">508</td>
<td align="center" valign="top">45.6</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">Age group [years]</td>
<td align="left" valign="top">18&#x2013;29</td>
<td align="center" valign="top">153</td>
<td align="center" valign="top">13.7</td>
</tr>
<tr>
<td align="left" valign="top">30&#x2013;39</td>
<td align="center" valign="top">217</td>
<td align="center" valign="top">19.5</td>
</tr>
<tr>
<td align="left" valign="top">40&#x2013;49</td>
<td align="center" valign="top">211</td>
<td align="center" valign="top">19.0</td>
</tr>
<tr>
<td align="left" valign="top">50&#x2013;59</td>
<td align="center" valign="top">205</td>
<td align="center" valign="top">18.4</td>
</tr>
<tr>
<td align="left" valign="top">60+</td>
<td align="center" valign="top">327</td>
<td align="center" valign="top">29.4</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Educational level</td>
<td align="left" valign="top">primary</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">1.6</td>
</tr>
<tr>
<td align="left" valign="top">Vocational</td>
<td align="center" valign="top">116</td>
<td align="center" valign="top">10.4</td>
</tr>
<tr>
<td align="left" valign="top">Secondary</td>
<td align="center" valign="top">443</td>
<td align="center" valign="top">39.8</td>
</tr>
<tr>
<td align="left" valign="top">Higher</td>
<td align="center" valign="top">536</td>
<td align="center" valign="top">48.2</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Marital status</td>
<td align="left" valign="top">Single</td>
<td align="center" valign="top">319</td>
<td align="center" valign="top">28.7</td>
</tr>
<tr>
<td align="left" valign="top">Married</td>
<td align="center" valign="top">580</td>
<td align="center" valign="top">52.1</td>
</tr>
<tr>
<td align="left" valign="top">Informal relationship</td>
<td align="center" valign="top">167</td>
<td align="center" valign="top">15.0</td>
</tr>
<tr>
<td align="left" valign="top">Other</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">4.2</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">Place of residence</td>
<td align="left" valign="top">Rural area</td>
<td align="center" valign="top">419</td>
<td align="center" valign="top">37.6</td>
</tr>
<tr>
<td align="left" valign="top">City below 20,000 residents</td>
<td align="center" valign="top">145</td>
<td align="center" valign="top">13.0</td>
</tr>
<tr>
<td align="left" valign="top">City from 20,000 to 99,999 residents</td>
<td align="center" valign="top">219</td>
<td align="center" valign="top">19.7</td>
</tr>
<tr>
<td align="left" valign="top">City from 100,000 to 499,999 residents</td>
<td align="center" valign="top">187</td>
<td align="center" valign="top">16.8</td>
</tr>
<tr>
<td align="left" valign="top">City &#x2265; 500,000 residents</td>
<td align="center" valign="top">143</td>
<td align="center" valign="top">12.8</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Number of household members</td>
<td align="left" valign="top">1 (living alone)</td>
<td align="center" valign="top">191</td>
<td align="center" valign="top">17.2</td>
</tr>
<tr>
<td align="left" valign="top">2</td>
<td align="center" valign="top">405</td>
<td align="center" valign="top">36.4</td>
</tr>
<tr>
<td align="left" valign="top">3 or more</td>
<td align="center" valign="top">517</td>
<td align="center" valign="top">46.5</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Occupational status</td>
<td align="left" valign="top">Active</td>
<td align="center" valign="top">695</td>
<td align="center" valign="top">62.4</td>
</tr>
<tr>
<td align="left" valign="top">Passive</td>
<td align="center" valign="top">418</td>
<td align="center" valign="top">37.6</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Self-reported household economic status</td>
<td align="left" valign="top">Good</td>
<td align="center" valign="top">525</td>
<td align="center" valign="top">47.2</td>
</tr>
<tr>
<td align="left" valign="top">Moderate</td>
<td align="center" valign="top">416</td>
<td align="center" valign="top">37.4</td>
</tr>
<tr>
<td align="left" valign="top">Bad</td>
<td align="center" valign="top">172</td>
<td align="center" valign="top">15.5</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Among the respondents, 81.1% declared positive (35.5% rather positively and 45.6% definitely positive) opinion towards the legalization of medical cannabis treatment for patients in Poland since 2017 (<xref ref-type="table" rid="tab2">Table 2</xref>). The majority of respondents (84.3%) reported that they would accept medical cannabis therapy if diagnosed with a condition for which such treatment is recommended. A total of 4.2% of respondents reported having ever received medical cannabis treatment. Less than half of respondents (45.5%) declared support the possibility of patients growing medical cannabis for personal therapeutic use with physician approval. Only 29.9% of respondents believed that physicians in Poland possess sufficient knowledge regarding medical cannabis therapy, or were unsure about the extent of physicians&#x2019; knowledge. Furthermore, just 16.1% believed that patients are adequately informed about the therapeutic potential of medical cannabis, or were uncertain in this regard. Oncological conditions (57.4%) and chronic pain (49.8%) were the most recognized medical indications (diseases or conditions) for medical cannabis use. Public attitudes towards the use of medical cannabis are presented in <xref ref-type="table" rid="tab2">Table 2</xref>.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Public attitudes towards the use of medical cannabis (<italic>n</italic>&#x202F;=&#x202F;1,092).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Item</th>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top">n</th>
<th align="center" valign="top">%</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="5">How do you perceive the legalization of medical cannabis treatment for patients in Poland since 2017?</td>
<td align="left" valign="top">Definitely negatively</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">1.2</td>
</tr>
<tr>
<td align="left" valign="top">Rather negatively</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">3.1</td>
</tr>
<tr>
<td align="left" valign="top">Rather positively</td>
<td align="center" valign="top">395</td>
<td align="center" valign="top">35.5</td>
</tr>
<tr>
<td align="left" valign="top">Definitely positively</td>
<td align="center" valign="top">508</td>
<td align="center" valign="top">45.6</td>
</tr>
<tr>
<td align="left" valign="top">Difficult to say</td>
<td align="center" valign="top">162</td>
<td align="center" valign="top">14.6</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">If you were diagnosed with a condition for which medical cannabis is a recommended treatment and your physician prescribed it, would you agree to such therapy?</td>
<td align="left" valign="top">Definitely no</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">1.6</td>
</tr>
<tr>
<td align="left" valign="top">Rather no</td>
<td align="center" valign="top">36</td>
<td align="center" valign="top">3.2</td>
</tr>
<tr>
<td align="left" valign="top">Rather yes</td>
<td align="center" valign="top">372</td>
<td align="center" valign="top">33.4</td>
</tr>
<tr>
<td align="left" valign="top">Definitely yes</td>
<td align="center" valign="top">566</td>
<td align="center" valign="top">50.9</td>
</tr>
<tr>
<td align="left" valign="top">Difficult to say</td>
<td align="center" valign="top">121</td>
<td align="center" valign="top">10.9</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Has a physician ever recommended medical cannabis therapy to you?</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">4.2</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">1,066</td>
<td align="center" valign="top">95.8</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">Do you support the possibility of patients growing medical cannabis for personal therapeutic use with physician approval?</td>
<td align="left" valign="top">Definitely no</td>
<td align="center" valign="top">165</td>
<td align="center" valign="top">14.8</td>
</tr>
<tr>
<td align="left" valign="top">Rather no</td>
<td align="center" valign="top">210</td>
<td align="center" valign="top">18.9</td>
</tr>
<tr>
<td align="left" valign="top">Rather yes</td>
<td align="center" valign="top">253</td>
<td align="center" valign="top">22.7</td>
</tr>
<tr>
<td align="left" valign="top">Definitely yes</td>
<td align="center" valign="top">254</td>
<td align="center" valign="top">22.8</td>
</tr>
<tr>
<td align="left" valign="top">Difficult to say</td>
<td align="center" valign="top">231</td>
<td align="center" valign="top">20.8</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">In your opinion, do physicians in Poland have sufficient knowledge about medical cannabis therapy?</td>
<td align="left" valign="top">Definitely no</td>
<td align="center" valign="top">105</td>
<td align="center" valign="top">9.4</td>
</tr>
<tr>
<td align="left" valign="top">Rather no</td>
<td align="center" valign="top">282</td>
<td align="center" valign="top">25.3</td>
</tr>
<tr>
<td align="left" valign="top">Rather yes</td>
<td align="center" valign="top">251</td>
<td align="center" valign="top">22.6</td>
</tr>
<tr>
<td align="left" valign="top">Definitely yes</td>
<td align="center" valign="top">81</td>
<td align="center" valign="top">7.3</td>
</tr>
<tr>
<td align="left" valign="top">Difficult to say</td>
<td align="center" valign="top">394</td>
<td align="center" valign="top">35.4</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">In your opinion, do patients in Poland have sufficient knowledge about the potential use of medical cannabis therapy?</td>
<td align="left" valign="top">Definitely no</td>
<td align="center" valign="top">213</td>
<td align="center" valign="top">19.1</td>
</tr>
<tr>
<td align="left" valign="top">Rather no</td>
<td align="center" valign="top">444</td>
<td align="center" valign="top">39.9</td>
</tr>
<tr>
<td align="left" valign="top">Rather yes</td>
<td align="center" valign="top">137</td>
<td align="center" valign="top">12.3</td>
</tr>
<tr>
<td align="left" valign="top">Definitely yes</td>
<td align="center" valign="top">42</td>
<td align="center" valign="top">3.8</td>
</tr>
<tr>
<td align="left" valign="top">Difficult to say</td>
<td align="center" valign="top">277</td>
<td align="center" valign="top">24.9</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="10">In your opinion, for which medical indications (diseases or conditions) is medical cannabis used?<break/>(Select all that apply)</td>
<td align="left" valign="top">Chronic pain</td>
<td align="center" valign="top">554</td>
<td align="center" valign="top">49.8</td>
</tr>
<tr>
<td align="left" valign="top">Neurological disorders (e.g., epilepsy and others)</td>
<td align="center" valign="top">431</td>
<td align="center" valign="top">38.7</td>
</tr>
<tr>
<td align="left" valign="top">Oncology (cancer-related pain, chemotherapy-induced nausea and vomiting, cachexia)</td>
<td align="center" valign="top">639</td>
<td align="center" valign="top">57.4</td>
</tr>
<tr>
<td align="left" valign="top">Psychiatric disorders (e.g., PTSD, stress, anxiety, insomnia, depression)</td>
<td align="center" valign="top">299</td>
<td align="center" valign="top">26.9</td>
</tr>
<tr>
<td align="left" valign="top">Inflammatory and autoimmune diseases (e.g., rheumatic diseases, inflammatory bowel diseases)</td>
<td align="center" valign="top">224</td>
<td align="center" valign="top">20.1</td>
</tr>
<tr>
<td align="left" valign="top">Fatigue, lack of energy</td>
<td align="center" valign="top">101</td>
<td align="center" valign="top">9.1</td>
</tr>
<tr>
<td align="left" valign="top">Difficulty concentrating</td>
<td align="center" valign="top">84</td>
<td align="center" valign="top">7.5</td>
</tr>
<tr>
<td align="left" valign="top">ADHD</td>
<td align="center" valign="top">123</td>
<td align="center" valign="top">11.1</td>
</tr>
<tr>
<td align="left" valign="top">Lack of motivation</td>
<td align="center" valign="top">80</td>
<td align="center" valign="top">7.2</td>
</tr>
<tr>
<td align="left" valign="top">I am not aware of any medical indications for the use of medical cannabis</td>
<td align="center" valign="top">239</td>
<td align="center" valign="top">21.5</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Multivariable logistic regression analyses (<xref ref-type="table" rid="tab3">Tables 3</xref>&#x2013;<xref ref-type="table" rid="tab7">7</xref>) were performed to identify factors associated with public perception of medical cannabis therapy.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Factors associated with public perception of the legalization of medical cannabis treatment for patients in Poland since 2017 (<italic>n</italic>&#x202F;=&#x202F;1,113).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="4">How do you perceive the legalization of medical cannabis treatment for patients in Poland since 2017?&#x2014;&#x201C;rather positively&#x201D; or &#x201C;definitely positively&#x201D;</th>
<th align="center" valign="top" colspan="2">Bivariable logistic regression</th>
<th align="center" valign="top" colspan="2">Multivariable logistic regression</th>
</tr>
<tr>
<th align="left" valign="top">Variable</th>
<th/>
<th align="center" valign="top">
<bold>%</bold>
</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
<th align="center" valign="top">OR (95%CI)</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
<th align="center" valign="top">aOR (95%CI)</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">Gender</td>
<td align="left" valign="top">Female (<italic>n</italic> =&#x202F;605)</td>
<td align="center" valign="top">79.7</td>
<td align="center" valign="top">0.2</td>
<td align="center" valign="top">0.81 (0.60&#x2013;1.10)</td>
<td align="center" valign="top">0.2</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Male (<italic>n</italic> =&#x202F;508)</td>
<td align="center" valign="top">82.9</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">Age group [years]</td>
<td align="left" valign="top">18&#x2013;29 (<italic>n</italic> =&#x202F;153)</td>
<td align="center" valign="top">75.2</td>
<td align="center" valign="top"><bold>0.04</bold></td>
<td align="center" valign="top">Reference</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">30&#x2013;39 (<italic>n</italic> =&#x202F;217)</td>
<td align="center" valign="top">77.4</td>
<td/>
<td align="center" valign="top">1.13 (0.70&#x2013;1.84)</td>
<td align="center" valign="top">0.6</td>
<td align="center" valign="top">1.25 (0.76&#x2013;2.04)</td>
<td align="center" valign="top">0.4</td>
</tr>
<tr>
<td align="left" valign="top">40&#x2013;49 (<italic>n</italic> =&#x202F;211)</td>
<td align="center" valign="top">81.0</td>
<td/>
<td align="center" valign="top">1.14 (0.85&#x2013;2.34)</td>
<td align="center" valign="top">0.2</td>
<td align="center" valign="top">1.58 (0.95&#x2013;2.64)</td>
<td align="center" valign="top">0.08</td>
</tr>
<tr>
<td align="left" valign="top">50&#x2013;59 (<italic>n</italic> =&#x202F;205)</td>
<td align="center" valign="top">82.9</td>
<td/>
<td align="center" valign="top">1.61 (0.96&#x2013;2.69)</td>
<td align="center" valign="top">0.1</td>
<td align="center" valign="top">1.73 (1.02&#x2013;2.92)</td>
<td align="center" valign="top"><bold>0.04</bold></td>
</tr>
<tr>
<td align="left" valign="top">60&#x202F;+&#x202F;(<italic>n</italic> =&#x202F;327)</td>
<td align="center" valign="top">85.3</td>
<td/>
<td align="center" valign="top">1.92 (1.19&#x2013;3.10)</td>
<td align="center" valign="top"><bold>0.01</bold></td>
<td align="center" valign="top">2.19 (1.34&#x2013;3.56)</td>
<td align="center" valign="top"><bold>0.002</bold></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Educational level</td>
<td align="left" valign="top">Higher (<italic>n</italic> =&#x202F;536)</td>
<td align="center" valign="top">83.4</td>
<td align="center" valign="top">0.06</td>
<td align="center" valign="top">1.33 (0.98&#x2013;1.81)</td>
<td align="center" valign="top">0.06</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Less than higher (<italic>n</italic> =&#x202F;577)</td>
<td align="center" valign="top">79.0</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Marital status</td>
<td align="left" valign="top">Single (<italic>n</italic> =&#x202F;319)</td>
<td align="center" valign="top">79.6</td>
<td align="center" valign="top"><bold>0.04</bold></td>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Married (<italic>n</italic> =&#x202F;580)</td>
<td align="center" valign="top">83.8</td>
<td/>
<td align="center" valign="top">1.32 (0.93&#x2013;1.88)</td>
<td align="center" valign="top">0.1</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Informal relationship (<italic>n</italic> =&#x202F;167)</td>
<td align="center" valign="top">77.8</td>
<td/>
<td align="center" valign="top">0.90 (0.57&#x2013;1.42)</td>
<td align="center" valign="top">0.6</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Other (<italic>n</italic> =&#x202F;47)</td>
<td align="center" valign="top">70.2</td>
<td/>
<td align="center" valign="top">0.60 (0.31&#x2013;1.19)</td>
<td align="center" valign="top">0.1</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">Place of residence</td>
<td align="left" valign="top">Rural area (<italic>n</italic> =&#x202F;419)</td>
<td align="center" valign="top">79.7</td>
<td align="center" valign="top">0.5</td>
<td align="center" valign="top">0.87 (0.54&#x2013;1.42)</td>
<td align="center" valign="top">0.6</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">City below 20,000 residents (<italic>n</italic> =&#x202F;145)</td>
<td align="center" valign="top">78.6</td>
<td/>
<td align="center" valign="top">0.82 (0.46&#x2013;1.46)</td>
<td align="center" valign="top">0.5</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">City from 20,000 to 99,999 residents (<italic>n</italic> =&#x202F;219)</td>
<td align="center" valign="top">84.9</td>
<td/>
<td align="center" valign="top">1.25 (0.71&#x2013;2.20)</td>
<td align="center" valign="top">0.4</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">City from 100,000 to 499,999 residents (<italic>n</italic> =&#x202F;187)</td>
<td align="center" valign="top">81.3</td>
<td/>
<td align="center" valign="top">0.97 (0.55&#x2013;1.69)</td>
<td align="center" valign="top">0.9</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">City &#x2265; 500,000 residents (<italic>n</italic> =&#x202F;143)</td>
<td align="center" valign="top">81.8</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Number of household members</td>
<td align="left" valign="top">1 (living alone) (<italic>n</italic> =&#x202F;191)</td>
<td align="center" valign="top">79.1</td>
<td align="center" valign="top">0.7</td>
<td align="center" valign="top">0.87 (0.58&#x2013;1.32)</td>
<td align="center" valign="top">0.5</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">2 (<italic>n</italic> =&#x202F;405)</td>
<td align="center" valign="top">82.0</td>
<td/>
<td align="center" valign="top">1.05 (0.75&#x2013;1.47)</td>
<td align="center" valign="top">0.8</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">3 or more (<italic>n</italic> =&#x202F;517)</td>
<td align="center" valign="top">81.2</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Occupational status</td>
<td align="left" valign="top">Active (<italic>n</italic> =&#x202F;695)</td>
<td align="center" valign="top">81.0</td>
<td align="center" valign="top">0.9</td>
<td align="center" valign="top">0.98 (0.72&#x2013;1.34)</td>
<td align="center" valign="top">0.9</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Passive (<italic>n</italic> =&#x202F;418)</td>
<td align="center" valign="top">81.3</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Self-reported household economic status</td>
<td align="left" valign="top">Good (<italic>n</italic> =&#x202F;554)</td>
<td align="center" valign="top">82.0</td>
<td align="center" valign="top"><bold>0.001</bold></td>
<td align="center" valign="top">0.79 (0.50&#x2013;1.25)</td>
<td align="center" valign="top">0.3</td>
<td align="center" valign="top">0.73 (0.46&#x2013;1.16)</td>
<td align="center" valign="top">0.2</td>
</tr>
<tr>
<td align="left" valign="top">Moderate (<italic>n</italic> =&#x202F;396)</td>
<td align="center" valign="top">75.7</td>
<td/>
<td align="center" valign="top">0.54 (0.39&#x2013;0.76)</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
<td align="center" valign="top">0.51 (0.37&#x2013;0.71)</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
</tr>
<tr>
<td align="left" valign="top">Bad (<italic>n</italic> =&#x202F;142)</td>
<td align="center" valign="top">85.1</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Ever treatment with medical cannabis</td>
<td align="left" valign="top">Yes (n&#x202F;=&#x202F;47)</td>
<td align="center" valign="top">91.5</td>
<td align="center" valign="top">0.06</td>
<td align="center" valign="top">2.58 (0.91&#x2013;7.25)</td>
<td align="center" valign="top">0.07</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">No (<italic>n</italic> =&#x202F;1,066)</td>
<td align="center" valign="top">80.7</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>OR &#x2013; odds ratio; aOR &#x2013; adjusted odds ratio. Bold values are statistically significant.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Factors associated with public perception of the treatment with medical cannabis (<italic>n</italic>&#x202F;=&#x202F;1,113).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="4">If you were diagnosed with a condition for which medical cannabis is a recommended treatment and your physician prescribed it, would you agree to such therapy?&#x2014;&#x201C;rather yes&#x201D; or &#x201C;definitely yes&#x201D;</th>
<th align="center" valign="top" colspan="2">Bivariable logistic regression</th>
<th align="center" valign="top" colspan="2">Multivariable logistic regression</th>
</tr>
<tr>
<th align="left" valign="top" colspan="2">Variable</th>
<th align="center" valign="top">%</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
<th align="center" valign="top">OR (95%CI)</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
<th align="center" valign="top">aOR (95%CI)</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">Gender</td>
<td align="left" valign="top">Female (<italic>n</italic> =&#x202F;605)</td>
<td align="center" valign="top">82.5</td>
<td align="center" valign="top">0.07</td>
<td align="center" valign="top">0.74 (0.53&#x2013;1.03)</td>
<td align="center" valign="top">0.07</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Male (<italic>n</italic> =&#x202F;508)</td>
<td align="center" valign="top">86.4</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">Age group [years]</td>
<td align="left" valign="top">18&#x2013;29 (<italic>n</italic> =&#x202F;153)</td>
<td align="center" valign="top">85.0</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
<td align="center" valign="top">0.70 (0.40&#x2013;1.23)</td>
<td align="center" valign="top">0.2</td>
<td align="center" valign="top">0.64 (0.35&#x2013;1.17)</td>
<td align="center" valign="top">0.2</td>
</tr>
<tr>
<td align="left" valign="top">30&#x2013;39 (<italic>n</italic> =&#x202F;217)</td>
<td align="center" valign="top">73.3</td>
<td/>
<td align="center" valign="top">0.34 (0.21&#x2013;0.54)</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
<td align="center" valign="top">0.33 (0.20&#x2013;0.53)</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
</tr>
<tr>
<td align="left" valign="top">40&#x2013;49 (<italic>n</italic> =&#x202F;211)</td>
<td align="center" valign="top">83.9</td>
<td/>
<td align="center" valign="top">0.64 (0.39&#x2013;1.07)</td>
<td align="center" valign="top">0.09</td>
<td align="center" valign="top">0.64 (0.38&#x2013;1.06)</td>
<td align="center" valign="top">0.09</td>
</tr>
<tr>
<td align="left" valign="top">50&#x2013;59 (<italic>n</italic> =&#x202F;205)</td>
<td align="center" valign="top">88.3</td>
<td/>
<td align="center" valign="top">0.93 (0.54&#x2013;1.62)</td>
<td align="center" valign="top">0.8</td>
<td align="center" valign="top">0.88 (0.50&#x2013;1.53)</td>
<td align="center" valign="top">0.6</td>
</tr>
<tr>
<td align="left" valign="top">60&#x202F;+&#x202F;(n&#x202F;=&#x202F;327)</td>
<td align="center" valign="top">89.0</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Educational level</td>
<td align="left" valign="top">Higher (<italic>n</italic> =&#x202F;536)</td>
<td align="center" valign="top">84.5</td>
<td align="center" valign="top">0.8</td>
<td align="center" valign="top">1.04 (0.75&#x2013;1.43)</td>
<td align="center" valign="top">0.8</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Less than higher (<italic>n</italic> =&#x202F;577)</td>
<td align="center" valign="top">84.1</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Marital status</td>
<td align="left" valign="top">Single (<italic>n</italic> =&#x202F;319)</td>
<td align="center" valign="top">81.2</td>
<td align="center" valign="top">0.2</td>
<td align="center" valign="top">Reference</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Married (<italic>n</italic> =&#x202F;580)</td>
<td align="center" valign="top">86.4</td>
<td/>
<td align="center" valign="top">1.47 (1.02&#x2013;2.12)</td>
<td align="center" valign="top"><bold>0.04</bold></td>
<td align="center" valign="top">1.23 (0.84&#x2013;1.82)</td>
<td align="center" valign="top">0.3</td>
</tr>
<tr>
<td align="left" valign="top">Informal relationship (<italic>n</italic> =&#x202F;167)</td>
<td align="center" valign="top">83.2</td>
<td/>
<td align="center" valign="top">1.15 (0.70&#x2013;1.88)</td>
<td align="center" valign="top">0.6</td>
<td align="center" valign="top">1.15 (0.69&#x2013;1.91)</td>
<td align="center" valign="top">0.6</td>
</tr>
<tr>
<td align="left" valign="top">Other (<italic>n</italic> =&#x202F;47)</td>
<td align="center" valign="top">83.0</td>
<td/>
<td align="center" valign="top">1.13 (0.50&#x2013;2.54)</td>
<td align="center" valign="top">0.8</td>
<td align="center" valign="top">0.95 (0.41&#x2013;2.19)</td>
<td align="center" valign="top">0.9</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">Place of residence</td>
<td align="left" valign="top">Rural area (<italic>n</italic> =&#x202F;419)</td>
<td align="center" valign="top">82.3</td>
<td align="center" valign="top">0.4</td>
<td align="center" valign="top">0.99 (0.60&#x2013;1.63)</td>
<td align="center" valign="top">0.9</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">City below 20,000 residents (<italic>n</italic> =&#x202F;145)</td>
<td align="center" valign="top">83.4</td>
<td/>
<td align="center" valign="top">1.07 (0.58&#x2013;1.98)</td>
<td align="center" valign="top">0.8</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">City from 20,000 to 99,999 residents (<italic>n</italic> =&#x202F;219)</td>
<td align="center" valign="top">87.2</td>
<td/>
<td align="center" valign="top">1.45 (0.80&#x2013;2.60)</td>
<td align="center" valign="top">0.2</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">City from 100,000 to 499,999 residents (<italic>n</italic> =&#x202F;187)</td>
<td align="center" valign="top">87.2</td>
<td/>
<td align="center" valign="top">1.44 (0.78&#x2013;2.64)</td>
<td align="center" valign="top">0.2</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">City &#x2265; 500,000 residents (<italic>n</italic> =&#x202F;143)</td>
<td align="center" valign="top">82.5</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Number of household members</td>
<td align="left" valign="top">1 (living alone) (<italic>n</italic> =&#x202F;191)</td>
<td align="center" valign="top">81.7</td>
<td align="center" valign="top">0.2</td>
<td align="center" valign="top">0.89 (0.58&#x2013;1.37)</td>
<td align="center" valign="top">0.6</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">2 (<italic>n</italic> =&#x202F;405)</td>
<td align="center" valign="top">86.7</td>
<td/>
<td align="center" valign="top">1.30 (0.90&#x2013;1.88)</td>
<td align="center" valign="top">0.2</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">3 or more (<italic>n</italic> =&#x202F;517)</td>
<td align="center" valign="top">83.4</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Occupational status</td>
<td align="left" valign="top">Active (<italic>n</italic> =&#x202F;695)</td>
<td align="center" valign="top">83.9</td>
<td align="center" valign="top">0.6</td>
<td align="center" valign="top">0.92 (0.66&#x2013;1.29)</td>
<td align="center" valign="top">0.6</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Passive (<italic>n</italic> =&#x202F;418)</td>
<td align="center" valign="top">84.9</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Self-reported household economic status</td>
<td align="left" valign="top">Good (<italic>n</italic> =&#x202F;554)</td>
<td align="center" valign="top">83.1</td>
<td align="center" valign="top"><bold>0.001</bold></td>
<td align="center" valign="top">0.65 (0.40&#x2013;1.05)</td>
<td align="center" valign="top">0.08</td>
<td align="center" valign="top">0.65 (0.39&#x2013;1.07)</td>
<td align="center" valign="top">0.09</td>
</tr>
<tr>
<td align="left" valign="top">Moderate (<italic>n</italic> =&#x202F;396)</td>
<td align="center" valign="top">79.6</td>
<td/>
<td align="center" valign="top">0.51 (0.36&#x2013;0.73)</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
<td align="center" valign="top">0.51 (0.35&#x2013;0.73)</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
</tr>
<tr>
<td align="left" valign="top">Bad (<italic>n</italic> =&#x202F;142)</td>
<td align="center" valign="top">88.4</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Ever treatment with medical cannabis</td>
<td align="left" valign="top">Yes (<italic>n</italic> =&#x202F;47)</td>
<td align="center" valign="top">89.4</td>
<td align="center" valign="top">0.3</td>
<td align="center" valign="top">1.59 (0.62&#x2013;4.09)</td>
<td align="center" valign="top">0.3</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">No (<italic>n</italic> =&#x202F;1,066)</td>
<td align="center" valign="top">84.1</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>OR &#x2013; odds ratio; aOR &#x2013; adjusted odds ratio. Bold values are statistically significant.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Factors associated with public support for the possibility of patients growing medical cannabis for personal therapeutic use with physician approval (<italic>n</italic>&#x202F;=&#x202F;1,113).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="4">Do you support the possibility of patients growing medical cannabis for personal therapeutic use with physician approval?&#x2014;&#x201C;rather yes&#x201D; or &#x201C;definitely yes&#x201D;</th>
<th align="center" valign="top" colspan="2">Bivariable logistic regression</th>
<th align="center" valign="top" colspan="2">Multivariable logistic regression</th>
</tr>
<tr>
<th align="left" valign="top" colspan="2">Variable</th>
<th align="center" valign="top">%</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
<th align="center" valign="top">OR (95%CI)</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
<th align="center" valign="top">aOR (95%CI)</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">Gender</td>
<td align="left" valign="top">Female (<italic>n</italic> =&#x202F;605)</td>
<td align="center" valign="top">40.2</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
<td align="center" valign="top">Reference</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
<td align="center" valign="top">Reference</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
</tr>
<tr>
<td align="left" valign="top">Male (<italic>n</italic> =&#x202F;508)</td>
<td align="center" valign="top">52.0</td>
<td/>
<td align="center" valign="top">1.61 (1.27&#x2013;2.05)</td>
<td/>
<td align="center" valign="top">1.65 (1.29&#x2013;2.11)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">Age group [years]</td>
<td align="left" valign="top">18&#x2013;29 (<italic>n</italic> =&#x202F;153)</td>
<td align="center" valign="top">53.6</td>
<td align="center" valign="top"><bold>0.01</bold></td>
<td align="center" valign="top">1.84 (1.25&#x2013;2.72)</td>
<td align="center" valign="top"><bold>0.002</bold></td>
<td align="center" valign="top">1.75 (1.15&#x2013;2.66)</td>
<td align="center" valign="top"><bold>0.01</bold></td>
</tr>
<tr>
<td align="left" valign="top">30&#x2013;39 (<italic>n</italic> =&#x202F;217)</td>
<td align="center" valign="top">50.7</td>
<td/>
<td align="center" valign="top">1.64 (1.16&#x2013;2.32)</td>
<td align="center" valign="top"><bold>0.005</bold></td>
<td align="center" valign="top">1.46 (0.98&#x2013;2.18)</td>
<td align="center" valign="top">0.06</td>
</tr>
<tr>
<td align="left" valign="top">40&#x2013;49 (<italic>n</italic> =&#x202F;211)</td>
<td align="center" valign="top">46.0</td>
<td/>
<td align="center" valign="top">1.36 (0.96&#x2013;1.93)</td>
<td align="center" valign="top">0.09</td>
<td align="center" valign="top">1.21 (0.81&#x2013;1.82)</td>
<td align="center" valign="top">0.3</td>
</tr>
<tr>
<td align="left" valign="top">50&#x2013;59 (<italic>n</italic> =&#x202F;205)</td>
<td align="center" valign="top">44.9</td>
<td/>
<td align="center" valign="top">1.30 (0.91&#x2013;1.85)</td>
<td align="center" valign="top">0.1</td>
<td align="center" valign="top">1.25 (0.84&#x2013;1.86)</td>
<td align="center" valign="top">0.3</td>
</tr>
<tr>
<td align="left" valign="top">60&#x202F;+&#x202F;(<italic>n</italic> =&#x202F;327)</td>
<td align="center" valign="top">38.5</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Educational level</td>
<td align="left" valign="top">Higher (<italic>n</italic> =&#x202F;536)</td>
<td align="center" valign="top">46.1</td>
<td align="center" valign="top">0.7</td>
<td align="center" valign="top">1.04 (0.82&#x2013;1.32)</td>
<td align="center" valign="top">0.7</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Less than higher (<italic>n</italic> =&#x202F;577)</td>
<td align="center" valign="top">45.1</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Marital status</td>
<td align="left" valign="top">Single (<italic>n</italic> =&#x202F;319)</td>
<td align="center" valign="top">48.3</td>
<td align="center" valign="top">0.1</td>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Married (<italic>n</italic> =&#x202F;580)</td>
<td align="center" valign="top">43.6</td>
<td/>
<td align="center" valign="top">0.83 (0.63&#x2013;1.09)</td>
<td align="center" valign="top">0.2</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Informal relationship (<italic>n</italic> =&#x202F;167)</td>
<td align="center" valign="top">50.3</td>
<td/>
<td align="center" valign="top">1.08 (0.75&#x2013;1.58)</td>
<td align="center" valign="top">0.7</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Other (<italic>n</italic> =&#x202F;47)</td>
<td align="center" valign="top">34.0</td>
<td/>
<td align="center" valign="top">0.55 (0.29&#x2013;1.05)</td>
<td align="center" valign="top">0.07</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">Place of residence</td>
<td align="left" valign="top">Rural area (<italic>n</italic> =&#x202F;419)</td>
<td align="center" valign="top">42.0</td>
<td align="center" valign="top">0.07</td>
<td align="center" valign="top">Reference</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">City below 20,000 residents (<italic>n</italic> =&#x202F;145)</td>
<td align="center" valign="top">40.0</td>
<td/>
<td align="center" valign="top">0.92 (0.63&#x2013;1.35)</td>
<td align="center" valign="top">0.7</td>
<td align="center" valign="top">0.95 (0.64&#x2013;1.41)</td>
<td align="center" valign="top">0.8</td>
</tr>
<tr>
<td align="left" valign="top">City from 20,000 to 99,999 residents (<italic>n</italic> =&#x202F;219)</td>
<td align="center" valign="top">48.9</td>
<td/>
<td align="center" valign="top">1.32 (0.95&#x2013;1.83)</td>
<td align="center" valign="top">0.1</td>
<td align="center" valign="top">1.33 (0.95&#x2013;1.86)</td>
<td align="center" valign="top">0.1</td>
</tr>
<tr>
<td align="left" valign="top">City from 100,000 to 499,999 residents (<italic>n</italic> =&#x202F;187)</td>
<td align="center" valign="top">48.1</td>
<td/>
<td align="center" valign="top">1.28 (0.91&#x2013;1.81)</td>
<td align="center" valign="top">0.2</td>
<td align="center" valign="top">1.25 (0.88&#x2013;1.79)</td>
<td align="center" valign="top">0.2</td>
</tr>
<tr>
<td align="left" valign="top">City &#x2265; 500,000 residents (<italic>n</italic> =&#x202F;143)</td>
<td align="center" valign="top">53.1</td>
<td/>
<td align="center" valign="top">1.57 (1.07&#x2013;2.29)</td>
<td align="center" valign="top"><bold>0.02</bold></td>
<td align="center" valign="top">1.57 (1.06&#x2013;2.32)</td>
<td align="center" valign="top"><bold>0.02</bold></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Number of household members</td>
<td align="left" valign="top">1 (living alone) (<italic>n</italic> =&#x202F;191)</td>
<td align="center" valign="top">45.0</td>
<td align="center" valign="top">0.9</td>
<td align="center" valign="top">1.01 (0.72&#x2013;1.41)</td>
<td align="center" valign="top">0.9</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">2 (<italic>n</italic> =&#x202F;405)</td>
<td align="center" valign="top">46.7</td>
<td/>
<td align="center" valign="top">1.08 (0.83&#x2013;1.40)</td>
<td align="center" valign="top">0.6</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">3 or more (<italic>n</italic> =&#x202F;517)</td>
<td align="center" valign="top">44.9</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Occupational status</td>
<td align="left" valign="top">Active (<italic>n</italic> =&#x202F;695)</td>
<td align="center" valign="top">48.6</td>
<td align="center" valign="top"><bold>0.01</bold></td>
<td align="center" valign="top">1.40 (1.09&#x2013;1.78)</td>
<td align="center" valign="top"><bold>0.01</bold></td>
<td align="center" valign="top">1.11 (0.82&#x2013;1.50)</td>
<td align="center" valign="top">0.5</td>
</tr>
<tr>
<td align="left" valign="top">Passive (<italic>n</italic> =&#x202F;418)</td>
<td align="center" valign="top">40.4</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Self-reported household economic status</td>
<td align="left" valign="top">Good (<italic>n</italic> =&#x202F;554)</td>
<td align="center" valign="top">46.5</td>
<td align="center" valign="top">0.2</td>
<td align="center" valign="top">0.94 (0.67&#x2013;1.33)</td>
<td align="center" valign="top">0.7</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Moderate (<italic>n</italic> =&#x202F;396)</td>
<td align="center" valign="top">42.1</td>
<td/>
<td align="center" valign="top">0.79 (0.61&#x2013;1.02)</td>
<td align="center" valign="top">0.07</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Bad (<italic>n</italic> =&#x202F;142)</td>
<td align="center" valign="top">48.0</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Ever treatment with medical cannabis</td>
<td align="left" valign="top">Yes (<italic>n</italic> =&#x202F;47)</td>
<td align="center" valign="top">72.3</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
<td align="center" valign="top">3.28 (1.71&#x2013;6.28)</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
<td align="center" valign="top">2.93 (1.51&#x2013;5.69)</td>
<td align="center" valign="top"><bold>0.002</bold></td>
</tr>
<tr>
<td align="left" valign="top">No (<italic>n</italic> =&#x202F;1,066)</td>
<td align="center" valign="top">44.4</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>OR &#x2013; odds ratio; aOR &#x2013; adjusted odds ratio. Bold values are statistically significant.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>Factors associated with public perception of physicians&#x2019; knowledge about medical cannabis therapy (<italic>n</italic>&#x202F;=&#x202F;1,113).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="4">In your opinion, do physicians in Poland have sufficient knowledge about medical cannabis therapy?&#x2014;&#x201C;rather yes&#x201D; or &#x201C;definitely yes&#x201D;</th>
<th align="center" valign="top" colspan="2">Bivariable logistic regression</th>
<th align="center" valign="top" colspan="2">Multivariable logistic regression</th>
</tr>
<tr>
<th align="left" valign="top">Variable</th>
<th/>
<th align="center" valign="top">
<bold>%</bold>
</th>
<th align="center" valign="top">
<bold>
<italic>p</italic>
</bold>
</th>
<th align="center" valign="top">OR (95%CI)</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
<th align="center" valign="top">aOR (95%CI)</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">Gender</td>
<td align="left" valign="top">Female (<italic>n</italic> =&#x202F;605)</td>
<td align="center" valign="top">26.3</td>
<td align="center" valign="top"><bold>0.005</bold></td>
<td align="center" valign="top">Reference</td>
<td align="center" valign="top"><bold>0.005</bold></td>
<td align="center" valign="top">Reference</td>
<td align="center" valign="top"><bold>0.004</bold></td>
</tr>
<tr>
<td align="left" valign="top">Male (<italic>n</italic> =&#x202F;508)</td>
<td align="center" valign="top">34.1</td>
<td/>
<td align="center" valign="top">1.45 (1.12&#x2013;1.88)</td>
<td/>
<td align="center" valign="top">1.47 (1.13&#x2013;1.91)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">Age group [years]</td>
<td align="left" valign="top">18&#x2013;29 (<italic>n</italic> =&#x202F;153)</td>
<td align="center" valign="top">31.4</td>
<td align="center" valign="top">0.8</td>
<td align="center" valign="top">1.07 (0.71&#x2013;1.62)</td>
<td align="center" valign="top">0.8</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">30&#x2013;39 (<italic>n</italic> =&#x202F;217)</td>
<td align="center" valign="top">30.4</td>
<td/>
<td align="center" valign="top">1.02 (0.70&#x2013;1.48)</td>
<td align="center" valign="top">0.9</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">40&#x2013;49 (<italic>n</italic> =&#x202F;211)</td>
<td align="center" valign="top">31.3</td>
<td/>
<td align="center" valign="top">1.06 (0.73&#x2013;1.55)</td>
<td align="center" valign="top">0.7</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">50&#x2013;59 (<italic>n</italic> =&#x202F;205)</td>
<td align="center" valign="top">26.3</td>
<td/>
<td align="center" valign="top">0.84 (0.57&#x2013;1.24)</td>
<td align="center" valign="top">0.4</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">60&#x202F;+&#x202F;(<italic>n</italic> =&#x202F;327)</td>
<td align="center" valign="top">30.0</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Educational level</td>
<td align="left" valign="top">Higher (<italic>n</italic> =&#x202F;536)</td>
<td align="center" valign="top">27.4</td>
<td align="center" valign="top">0.09</td>
<td align="center" valign="top">0.80 (0.62&#x2013;1.04)</td>
<td align="center" valign="top">0.09</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Less than higher (<italic>n</italic> =&#x202F;577)</td>
<td align="center" valign="top">32.1</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Marital status</td>
<td align="left" valign="top">Single (<italic>n</italic> =&#x202F;319)</td>
<td align="center" valign="top">27.9</td>
<td align="center" valign="top">0.8</td>
<td align="center" valign="top">1.14 (0.84&#x2013;1.54)</td>
<td align="center" valign="top">0.4</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Married (<italic>n</italic> =&#x202F;580)</td>
<td align="center" valign="top">30.5</td>
<td/>
<td align="center" valign="top">1.14 (0.75&#x2013;1.71)</td>
<td align="center" valign="top">0.5</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Informal relationship (<italic>n</italic> =&#x202F;167)</td>
<td align="center" valign="top">30.5</td>
<td/>
<td align="center" valign="top">1.21 (0.63&#x2013;2.34)</td>
<td align="center" valign="top">0.6</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Other (<italic>n</italic> =&#x202F;47)</td>
<td align="center" valign="top">31.9</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">Place of residence</td>
<td align="left" valign="top">Rural area (<italic>n</italic> =&#x202F;419)</td>
<td align="center" valign="top">30.8</td>
<td align="center" valign="top"><bold>0.03</bold></td>
<td align="center" valign="top">1.61 (1.03&#x2013;2.52)</td>
<td align="center" valign="top"><bold>0.04</bold></td>
<td align="center" valign="top">1.62 (1.03&#x2013;2.55)</td>
<td align="center" valign="top"><bold>0.04</bold></td>
</tr>
<tr>
<td align="left" valign="top">City below 20,000 residents (<italic>n</italic> =&#x202F;145)</td>
<td align="center" valign="top">26.2</td>
<td/>
<td align="center" valign="top">1.28 (0.75&#x2013;2.21)</td>
<td align="center" valign="top">0.4</td>
<td align="center" valign="top">1.32 (0.76&#x2013;2.29)</td>
<td align="center" valign="top">0.3</td>
</tr>
<tr>
<td align="left" valign="top">City from 20,000 to 99,999 residents (<italic>n</italic> =&#x202F;219)</td>
<td align="center" valign="top">37.0</td>
<td/>
<td align="center" valign="top">2.12 (1.31&#x2013;3.44)</td>
<td align="center" valign="top"><bold>0.002</bold></td>
<td align="center" valign="top">2.10 (1.28&#x2013;3.43)</td>
<td align="center" valign="top"><bold>0.003</bold></td>
</tr>
<tr>
<td align="left" valign="top">City from 100,000 to 499,999 residents (<italic>n</italic> =&#x202F;187)</td>
<td align="center" valign="top">28.3</td>
<td/>
<td align="center" valign="top">1.43 (0.86&#x2013;2.38)</td>
<td align="center" valign="top">0.2</td>
<td align="center" valign="top">1.36 (0.81&#x2013;2.28)</td>
<td align="center" valign="top">0.2</td>
</tr>
<tr>
<td align="left" valign="top">City &#x2265; 500,000 residents (<italic>n</italic> =&#x202F;143)</td>
<td align="center" valign="top">21.7</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Number of household members</td>
<td align="left" valign="top">1 (living alone) (<italic>n</italic> =&#x202F;191)</td>
<td align="center" valign="top">29.8</td>
<td align="center" valign="top">0.4</td>
<td align="center" valign="top">0.92 (0.64&#x2013;1.31)</td>
<td align="center" valign="top">0.6</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">2 (<italic>n</italic> =&#x202F;405)</td>
<td align="center" valign="top">27.4</td>
<td/>
<td align="center" valign="top">0.81 (0.61&#x2013;1.08)</td>
<td align="center" valign="top">0.2</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">3 or more (<italic>n</italic> =&#x202F;517)</td>
<td align="center" valign="top">31.7</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Occupational status</td>
<td align="left" valign="top">active (<italic>n</italic> =&#x202F;695)</td>
<td align="center" valign="top">31.2</td>
<td align="center" valign="top">0.2</td>
<td align="center" valign="top">1.20 (0.92&#x2013;1.56)</td>
<td align="center" valign="top">0.2</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Passive (<italic>n</italic> =&#x202F;418)</td>
<td align="center" valign="top">27.5</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Self-reported household economic status</td>
<td align="left" valign="top">Good (<italic>n</italic> =&#x202F;554)</td>
<td align="center" valign="top">29.7</td>
<td align="center" valign="top">0.7</td>
<td align="center" valign="top">0.94 (0.64&#x2013;1.36)</td>
<td align="center" valign="top">0.7</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Moderate (<italic>n</italic> =&#x202F;396)</td>
<td align="center" valign="top">28.4</td>
<td/>
<td align="center" valign="top">0.88 (0.66&#x2013;1.17)</td>
<td align="center" valign="top">0.4</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Bad (<italic>n</italic> =&#x202F;142)</td>
<td align="center" valign="top">31.0</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Ever treatment with medical cannabis</td>
<td align="left" valign="top">Yes (<italic>n</italic> =&#x202F;47)</td>
<td align="center" valign="top">66.0</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
<td align="center" valign="top">4.92 (2.66&#x2013;9.13)</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
<td align="center" valign="top">4.94 (2.64&#x2013;9.25)</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
</tr>
<tr>
<td align="left" valign="top">No (<italic>n</italic> =&#x202F;1,066)</td>
<td align="center" valign="top">28.2</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>OR &#x2013; odds ratio; aOR &#x2013; adjusted odds ratio. Bold values are statistically significant.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab7">
<label>Table 7</label>
<caption>
<p>Factors associated with public perception of patients&#x2019; knowledge about medical cannabis therapy (<italic>n</italic>&#x202F;=&#x202F;1,113).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="4">In your opinion, do patients in Poland have sufficient knowledge about the potential use of medical cannabis therapy?&#x2014;&#x201C;rather yes&#x201D; or &#x201C;definitely yes&#x201D;</th>
<th align="center" valign="top" colspan="2">Bivariable logistic regression</th>
<th align="center" valign="top" colspan="2">Multivariable logistic regression</th>
</tr>
<tr>
<th align="left" valign="top">Variable</th>
<th/>
<th align="center" valign="top">%</th>
<th align="center" valign="top">p</th>
<th align="center" valign="top">OR (95%CI)</th>
<th align="center" valign="top">p</th>
<th align="center" valign="top">aOR (95%CI)</th>
<th align="center" valign="top">p</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">Gender</td>
<td align="left" valign="top">Female (<italic>n</italic> =&#x202F;605)</td>
<td align="center" valign="top">14.7</td>
<td align="center" valign="top">0.2</td>
<td align="center" valign="top">0.80 (0.58&#x2013;1.10)</td>
<td align="center" valign="top">0.2</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Male (<italic>n</italic> =&#x202F;508)</td>
<td align="center" valign="top">17.7</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">Age group [years]</td>
<td align="left" valign="top">18&#x2013;29 (<italic>n</italic> =&#x202F;153)</td>
<td align="center" valign="top">22.2</td>
<td align="center" valign="top"><bold>0.004</bold></td>
<td align="center" valign="top">2.17 (1.31&#x2013;3.62)</td>
<td align="center" valign="top"><bold>0.003</bold></td>
<td align="center" valign="top">1.31 (0.73&#x2013;2.34)</td>
<td align="center" valign="top">0.4</td>
</tr>
<tr>
<td align="left" valign="top">30&#x2013;39 (<italic>n</italic> =&#x202F;217)</td>
<td align="center" valign="top">19.4</td>
<td/>
<td align="center" valign="top">1.83 (1.13&#x2013;2.94)</td>
<td align="center" valign="top"><bold>0.01</bold></td>
<td align="center" valign="top">1.06 (0.60&#x2013;1.87)</td>
<td align="center" valign="top">0.9</td>
</tr>
<tr>
<td align="left" valign="top">40&#x2013;49 (<italic>n</italic> =&#x202F;211)</td>
<td align="center" valign="top">19.4</td>
<td/>
<td align="center" valign="top">1.83 (1.14&#x2013;2.97)</td>
<td align="center" valign="top"><bold>0.01</bold></td>
<td align="center" valign="top">1.05 (0.58&#x2013;1.88)</td>
<td align="center" valign="top">0.9</td>
</tr>
<tr>
<td align="left" valign="top">50&#x2013;59 (<italic>n</italic> =&#x202F;205)</td>
<td align="center" valign="top">11.7</td>
<td/>
<td align="center" valign="top">1.01 (0.59&#x2013;1.74)</td>
<td align="center" valign="top">0.9</td>
<td align="center" valign="top">0.71 (0.39&#x2013;1.31)</td>
<td align="center" valign="top">0.3</td>
</tr>
<tr>
<td align="left" valign="top">60&#x202F;+&#x202F;(<italic>n</italic> =&#x202F;327)</td>
<td align="center" valign="top">11.6</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Educational level</td>
<td align="left" valign="top">Higher (<italic>n</italic> =&#x202F;536)</td>
<td align="center" valign="top">14.6</td>
<td align="center" valign="top">0.2</td>
<td align="center" valign="top">0.80 (0.58&#x2013;1.11)</td>
<td align="center" valign="top">0.2</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Less than higher (<italic>n</italic> =&#x202F;577)</td>
<td align="center" valign="top">17.5</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">Marital status</td>
<td align="left" valign="top">Single (<italic>n</italic> =&#x202F;319)</td>
<td align="center" valign="top">16.3</td>
<td align="center" valign="top">0.9</td>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Married (<italic>n</italic> =&#x202F;580)</td>
<td align="center" valign="top">16.0</td>
<td/>
<td align="center" valign="top">0.98 (0.68&#x2013;1.42)</td>
<td align="center" valign="top">0.9</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Informal relationship (<italic>n</italic> =&#x202F;167)</td>
<td align="center" valign="top">15.0</td>
<td/>
<td align="center" valign="top">0.90 (0.54&#x2013;1.52)</td>
<td align="center" valign="top">0.7</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Other (<italic>n</italic> =&#x202F;47)</td>
<td align="center" valign="top">19.1</td>
<td/>
<td align="center" valign="top">1.22 (0.56&#x2013;2.67)</td>
<td align="center" valign="top">0.6</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="5">Place of residence</td>
<td align="left" valign="top">Rural area (<italic>n</italic> =&#x202F;419)</td>
<td align="center" valign="top">16.0</td>
<td align="center" valign="top"><bold>0.03</bold></td>
<td align="center" valign="top">1.41 (0.80&#x2013;2.49)</td>
<td align="center" valign="top">0.2</td>
<td align="center" valign="top">1.35 (0.74&#x2013;2.46)</td>
<td align="center" valign="top">0.3</td>
</tr>
<tr>
<td align="left" valign="top">City below 20,000 residents (<italic>n</italic> =&#x202F;145)</td>
<td align="center" valign="top">9.7</td>
<td/>
<td align="center" valign="top">0.79 (0.38&#x2013;1.67)</td>
<td align="center" valign="top">0.5</td>
<td align="center" valign="top">0.81 (0.37&#x2013;1.77)</td>
<td align="center" valign="top">0.6</td>
</tr>
<tr>
<td align="left" valign="top">City from 20,000 to 99,999 residents (<italic>n</italic> =&#x202F;219)</td>
<td align="center" valign="top">19.6</td>
<td/>
<td align="center" valign="top">1.81 (0.99&#x2013;3.32)</td>
<td align="center" valign="top">0.06</td>
<td align="center" valign="top">1.72 (0.92&#x2013;3.24)</td>
<td align="center" valign="top">0.09</td>
</tr>
<tr>
<td align="left" valign="top">City from 100,000 to 499,999 residents (<italic>n</italic> =&#x202F;187)</td>
<td align="center" valign="top">20.3</td>
<td/>
<td align="center" valign="top">1.89 (1.02&#x2013;3.51)</td>
<td align="center" valign="top"><bold>0.04</bold></td>
<td align="center" valign="top">1.83 (0.96&#x2013;3.48)</td>
<td align="center" valign="top">0.07</td>
</tr>
<tr>
<td align="left" valign="top">City &#x2265; 500,000 residents (<italic>n</italic> =&#x202F;143)</td>
<td align="center" valign="top">11.9</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Number of household members</td>
<td align="left" valign="top">1 (living alone) (<italic>n</italic> =&#x202F;191)</td>
<td align="center" valign="top">15.2</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
<td align="center" valign="top">0.69 (0.44&#x2013;1.09)</td>
<td align="center" valign="top">0.1</td>
<td align="center" valign="top">0.81 (0.49&#x2013;1.32)</td>
<td align="center" valign="top">0.4</td>
</tr>
<tr>
<td align="left" valign="top">2 (<italic>n</italic> =&#x202F;405)</td>
<td align="center" valign="top">10.9</td>
<td/>
<td align="center" valign="top">0.47 (0.32&#x2013;0.69)</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
<td align="center" valign="top">0.56 (0.37&#x2013;0.86)</td>
<td align="center" valign="top"><bold>0.01</bold></td>
</tr>
<tr>
<td align="left" valign="top">3 or more (<italic>n</italic> =&#x202F;517)</td>
<td align="center" valign="top">20.5</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Occupational status</td>
<td align="left" valign="top">Active (<italic>n</italic> =&#x202F;695)</td>
<td align="center" valign="top">18.7</td>
<td align="center" valign="top"><bold>0.002</bold></td>
<td align="center" valign="top">1.73 (1.22&#x2013;2.47)</td>
<td align="center" valign="top"><bold>0.002</bold></td>
<td align="center" valign="top">1.48 (0.97&#x2013;2.26)</td>
<td align="center" valign="top">0.07</td>
</tr>
<tr>
<td align="left" valign="top">Passive (<italic>n</italic> =&#x202F;418)</td>
<td align="center" valign="top">11.7</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Self-reported household economic status</td>
<td align="left" valign="top">Good (<italic>n</italic> =&#x202F;554)</td>
<td align="center" valign="top">17.4</td>
<td align="center" valign="top">0.9</td>
<td align="center" valign="top">1.13 (0.71&#x2013;1.78)</td>
<td align="center" valign="top">0.6</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Moderate (<italic>n</italic> =&#x202F;396)</td>
<td align="center" valign="top">15.9</td>
<td/>
<td align="center" valign="top">1.00 (0.71&#x2013;1.43)</td>
<td align="center" valign="top">0.9</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Bad (<italic>n</italic> =&#x202F;142)</td>
<td align="center" valign="top">15.8</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Ever treatment with medical cannabis</td>
<td align="left" valign="top">Yes (<italic>n</italic> =&#x202F;47)</td>
<td align="center" valign="top">55.3</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
<td align="center" valign="top">7.39 (4.06&#x2013;13.46)</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
<td align="center" valign="top">5.85 (3.15&#x2013;10.86)</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold></td>
</tr>
<tr>
<td align="left" valign="top">No (<italic>n</italic> =&#x202F;1,066)</td>
<td align="center" valign="top">14.4</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>OR &#x2013; odds ratio; aOR &#x2013; adjusted odds ratio. Bold values are statistically significant.</p>
</table-wrap-foot>
</table-wrap>
<p>Age 50 and over (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) was the only factor associated with declaration of positive opinion on the legalization of medical cannabis treatment for patients in Poland since 2017 (<xref ref-type="table" rid="tab3">Table 3</xref>). Moderate household economic status was associated with low levels of satisfaction with the legalization of medical cannabis in 2017 (aOR: 0.51; 95%CI: 0.37&#x2013;0.71; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). Age 30&#x2013;39&#x202F;years (aOR: 0.33; 95%CI: 0.20&#x2013;0.53; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) and moderate household economic status (aOR: 0.51; 95%CI: 0.35&#x2013;0.73; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) were significantly associated with lower willingness to undergo medical cannabis therapy if recommended by the physician due to health conditions (<xref ref-type="table" rid="tab4">Table 4</xref>). Male gender (aOR: 1.65; 95%CI: 1.29&#x2013;2.11; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), age 18&#x2013;29&#x202F;years (aOR: 1.15&#x2013;2.26; <italic>p</italic>&#x202F;=&#x202F;0.01), living in cities over 500,000 residents (aOR: 1.57; 95%CI: 1.06&#x2013;2.32; <italic>p</italic>&#x202F;=&#x202F;0.02), and reported prior treatment with medical cannabis (aOR: 2.93; 95%CI: 1.51&#x2013;5.69; <italic>p</italic>&#x202F;=&#x202F;0.002) were significantly associated with the support for the possibility of patients growing medical cannabis for personal therapeutic use with physician approval (<xref ref-type="table" rid="tab5">Table 5</xref>).</p>
<p>Male gender (aOR: 1.47; 95%CI: 1.13&#x2013;1.91; <italic>p</italic>&#x202F;=&#x202F;0.004), living in rural area (aOR: 1.62; 95%CI: 1.03&#x2013;2.55; <italic>p</italic>&#x202F;=&#x202F;0.04) or cities from 20,000 to 99,999 residents (aOR: 2.10; 95%CI: 1.28&#x2013;3.43; <italic>p</italic>&#x202F;=&#x202F;0.003), and reported prior treatment with medical cannabis (aOR: 4.94; 95%CI: 2.64&#x2013;9.25; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) were significantly associated with opinion that physicians in Poland have sufficient knowledge about medical cannabis therapy (<xref ref-type="table" rid="tab6">Table 6</xref>). A lifetime experience with medical cannabis treatment (aOR: 5.85; 95%CI: 3.15&#x2013;10.86; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) was the only factor significantly associated with the opinion that patients in Poland have sufficient knowledge about medical cannabis therapy (<xref ref-type="table" rid="tab7">Table 7</xref>).</p>
</sec>
<sec sec-type="discussion" id="sec10">
<label>4</label>
<title>Discussion</title>
<p>This study presents a comprehensive analysis of public attitudes toward medical cannabis in Poland. The findings demonstrate that a substantial majority of respondents support the legalization of medical cannabis and indicate a willingness to consider such treatment if medically justified. Nevertheless, this expressed acceptance may not fully correspond to an informed or practical readiness to engage with cannabinoid-based therapies. A critical review by Silczuk et al. (<xref ref-type="bibr" rid="ref15">15</xref>) highlights the terminological confusion surrounding medical and non-medical cannabis. Moreover, actual clinical exposure remains minimal, as reflected by the very low proportion of respondents reporting a physician&#x2019;s recommendation for medical cannabis. This discrepancy raises important questions regarding whether public endorsement is grounded in accurate knowledge and personal experience, or rather influenced by a broader approval of policy liberalization. Additionally, these findings highlight the limited integration of medical cannabis into routine clinical practice in Poland, suggesting that favorable public opinion alone is insufficient to ensure effective implementation without concomitant systemic, clinical, and educational initiatives.</p>
<p>Real-world experiences during the early phase of the COVID-19 pandemic in the United States revealed that access to medical cannabis can be disrupted by external crises. While some patients reported stable or increased use, others experienced treatment interruptions due to reduced availability and limited healthcare support, emphasizing the need for resilient systems and adaptive regulatory frameworks (<xref ref-type="bibr" rid="ref16">16</xref>). Similarly, even in routine settings, physician authorization does not guarantee use. A recent study from an academic medical center found that fewer than half of certified patients actually purchased cannabis, citing high costs, registration burdens, and limited access to dispensaries. Many therefore continued to rely on unregulated products, despite reporting symptom relief, as these options were more accessible and affordable (<xref ref-type="bibr" rid="ref17">17</xref>).</p>
<p>Patient surveys conducted in dispensary settings have shown that individuals using medical cannabis for anxiety frequently report symptom improvement, minimal adverse effects, and high satisfaction with treatment. However, these findings should be interpreted with caution, as they are based on a self-selected population of active users and do not capture individuals who discontinued treatment. In addition, the surveys often lacked systematic data on product composition (e.g., THC versus CBD content) and did not clarify whether the reported benefits were sustained in the long term. Inhalation methods, especially vaporization, were most commonly used, and most patients perceived access as relatively easy and affordable (<xref ref-type="bibr" rid="ref18">18</xref>). These self-reported findings suggest both high perceived efficacy and a preference for specific administration routes.</p>
<p>In contrast, clinician attitudes remain cautious. A systematic review revealed that although a majority of physicians report receiving patient requests for medical cannabis, a much smaller proportion are willing to prescribe it, largely due to insufficient clinical knowledge and concerns about efficacy, safety, and counseling (<xref ref-type="bibr" rid="ref19">19</xref>). Importantly, this reluctance also reflects the broader absence of high-quality evidence, which stems from regulatory and medico-legal constraints, the mismatch with traditional pharmaceutical models, commercial barriers, and the heterogeneity of cannabis-based products studied across multiple conditions (<xref ref-type="bibr" rid="ref15">15</xref>). Studies from Ontario similarly show that physicians reluctant to authorize medical cannabis often cite neurocognitive risks, psychiatric comorbidities, and lack of clear indications as primary reasons (<xref ref-type="bibr" rid="ref20">20</xref>). Those with prior prescribing experience tend to be more confident in its therapeutic value, underscoring the importance of structured education and clinical exposure. At the national level, the Canadian Medical Association (CMA) has also highlighted such concerns in its policy statement on cannabis for medical purposes, particularly emphasizing the limited scientific evidence, medico-legal liability, and challenges tied to pharmaceutical regulation and prescribing frameworks (<xref ref-type="bibr" rid="ref21">21</xref>).</p>
<p>Our findings reflect this disconnect. Although public support is high, fewer than one third of respondents believe that physicians in Poland possess sufficient knowledge about medical cannabis, and even fewer trust that patients are adequately informed. These perceptions are consistent with Canadian research, where users report therapeutic benefits and reduced use of opioids and sedatives, yet face barriers such as limited provider guidance and reliance on alternative information sources (<xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref22">22</xref>). A study from Thailand further confirmed that healthcare workers and health volunteers differ in training needs and attitudes, pointing to the necessity of role-specific education tailored to local contexts (<xref ref-type="bibr" rid="ref23">23</xref>). Comparable challenges have been documented in other jurisdictions: recent Israeli, Canadian and North American data underscore the growing demand for evidence-based physician training and system-level guidance (<xref ref-type="bibr" rid="ref24 ref25 ref26 ref27 ref28 ref29 ref30">24&#x2013;30</xref>), while Australian and New Zeelands studies highlight both therapeutic potential and persistent regulatory and clinical barriers to implementation (<xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref32">32</xref>). Together, these findings suggest that despite cultural and policy differences, the need for structured education and clear regulatory frameworks is a common international theme. This becomes particularly evident when public perceptions are contrasted with legislatively defined frameworks. In Poland, for example, the law does not specify a closed list of indications, yet respondents most frequently mentioned cancer and chronic pain conditions that also rank among the most common reasons for medical cannabis authorization in other countries.</p>
<p>Surveys from different regions likewise reveal large gaps in clinical preparedness. In Florida, certifiers reported reliance on dispensary staff and inconsistent communication with other providers, as well as a strong need for structured education on interactions, condition-specific evidence, and harm reduction strategies (<xref ref-type="bibr" rid="ref33">33</xref>). A cross-sectional study of medical cannabis providers revealed similar variability in practice, including inconsistent dosing guidance and reliance on self-directed learning in the absence of formal guidelines. Most patients were cannabis-na&#x00EF;ve, placing a significant educational burden on clinicians (<xref ref-type="bibr" rid="ref34">34</xref>). Polish data mirror these concerns. Many physicians lack knowledge of the legal framework, pharmacology, and clinical effects of cannabinoids. Male physicians and those with less professional experience tended to score higher in knowledge assessments, but overall familiarity was low (<xref ref-type="bibr" rid="ref35">35</xref>).</p>
<p>International experience illustrates the impact of regulatory design. In Canada, requiring physician authorization for access to licensed producers initially led to higher patient enrollment in the medical program, as this was the only legal route to obtain cannabis before the legalization of non-medical use in 2018. Following legalization, cannabis became widely accessible to all adults, which reduced the gatekeeping role of physicians and was accompanied by a decline in medical program participation. Nonetheless, Canadian data suggest that formal medical authorization still contributes to safer, better-informed use: authorized users were more likely to obtain regulated products, report fewer side effects, and consult healthcare professionals (<xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref37">37</xref>).</p>
<p>Attitudes toward medical cannabis were influenced by sociodemographic factors. In our study, respondents over 50 were more likely to support legalization. Interestingly, those aged 30 to 39 expressed lower willingness to accept medical cannabis treatment. Individuals with moderate economic status were less supportive than those reporting low income, which may reflect differences in access to information or health services. Participants were most familiar with the use of medical cannabis in oncological, neurological, and chronic pain conditions, while psychiatric and inflammatory indications were less recognized. This suggests a need for public education on the full therapeutic scope. Support for home cultivation was associated with prior experience, male gender, younger age, and urban residence. These findings point to experiential and demographic factors shaping views on patient autonomy in cannabis use. Patient perspectives reinforce the importance of perceived efficacy and symptom relief (<xref ref-type="bibr" rid="ref38">38</xref>). In Florida, most patients reported high satisfaction with medical cannabis use for conditions like chronic pain, depression, and arthritis, though cost remained a common concern (<xref ref-type="bibr" rid="ref39">39</xref>). A California study tracking transitions in medical cannabis patient status found that individuals who maintained status used more cannabis but reported lower use of other drugs, whereas those who discontinued primarily reported reduced cannabis use. While these findings have been interpreted as suggesting a potential harm reduction role for medical cannabis, the evidence remains limited and should be viewed with caution given the observational design and reliance on self-reported data (<xref ref-type="bibr" rid="ref40">40</xref>).</p>
<p>Beliefs about system-level competence were associated with prior experience, male gender, and non-urban residence. These patterns may reflect either greater exposure to cannabis or perceptual bias among users. A study of New Zealand physicians found that prescribing decisions were influenced by product quality, side-effect profiles, patient&#x2013;provider relationships, and concerns about professional liability and cost barriers. Clinicians emphasized the need for clear guidelines to support ethical, equitable prescribing (<xref ref-type="bibr" rid="ref41">41</xref>).</p>
<p>Finally, the 2023 Cannabis Clinical Outcomes Research Conference (CCORC) highlighted major themes in medical cannabis research, including methodological challenges, the need to clarify risks and benefits, and data gaps in vulnerable populations. Current shortcomings in the evidence base include the limited number of high-quality randomized controlled trials, small and heterogeneous study populations, and insufficient data on long-term safety and effectiveness across diverse patient groups. To address these gaps, both pragmatic real-world evidence studies and traditional clinical trials are needed, with complementary strengths in external validity and methodological rigor. Ongoing research and robust clinical data will be essential to guide evidence-based policymaking and medical education (<xref ref-type="bibr" rid="ref42">42</xref>).</p>
</sec>
<sec sec-type="conclusions" id="sec11">
<label>5</label>
<title>Conclusion</title>
<p>The study demonstrates that public support for medical cannabis in Poland is high. Most respondents expressed favorable attitudes toward its legalization and indicated willingness to undergo such therapy if medically indicated. At the same time, there is a pronounced lack of confidence in the knowledge of both physicians and patients regarding medical cannabis treatment.</p>
<p>Sociodemographic factors such as age, gender, economic status, urbanicity, and prior experience with medical cannabis were significantly associated with public attitudes. Older individuals and those with previous therapeutic use were more supportive, while individuals with moderate economic status showed lower acceptance.</p>
<p>These findings suggest a disconnect between the level of public endorsement and perceived readiness of the healthcare system to deliver cannabis-based treatments. Addressing informational deficits among both healthcare professionals and the general population may be critical to ensure safe and effective implementation of medical cannabis policies in Poland. In parallel, high-quality clinical trials and pragmatic real-world evidence studies are urgently needed to generate the robust data required for the development of evidence-based guidelines and educational initiatives for both physicians and patients.</p>
</sec>
<sec id="sec12">
<label>6</label>
<title>Limitations</title>
<p>This cross-sectional survey has several methodological limitations that should be considered when interpreting the findings. First, all data were self-reported by respondents and may be subject to reporting biases, including social desirability and recall bias. Participants&#x2019; attitudes, beliefs, and declared knowledge about medical cannabis were not independently verified against clinical data or objective measures of health literacy. Second, the study does not assess the real-world effectiveness of cannabis policy implementation or its clinical outcomes. Given its cross-sectional design and absence of longitudinal or experimental comparison, the study cannot establish causal relationships between public attitudes and actual patterns of access, prescription, or use. Third, while the CAWI technique enabled efficient and demographically representative data collection across Poland, it inherently excluded individuals without internet access or those unfamiliar with online survey tools, potentially limiting generalizability to digitally excluded populations. Finally, physicians and nurses were not surveyed, meaning that the findings reflect only public perceptions of healthcare professionals&#x2019; knowledge and experience with medical cannabis, rather than the perspectives of clinicians themselves.</p>
<p>Nonetheless, this study offers a timely and policy-relevant snapshot of public perceptions surrounding medical cannabis in Poland and may serve as a foundation for future longitudinal or intervention-based research. Especially on cannabis policy implementation or its clinical outcomes.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec13">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="sec14">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Bioethics Committee of the Medical University of Warsaw (approval no. AKBE/39/2025, dated: Febr. 24, 2025). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="sec15">
<title>Author contributions</title>
<p>AS: Conceptualization, Data curation, Investigation, Methodology, Project administration, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. MJ: Conceptualization, Data curation, Methodology, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. PM-T: Formal analysis, Supervision, Writing &#x2013; review &#x0026; editing. AO: Resources, Visualization, Writing &#x2013; review &#x0026; editing. TB: Data curation, Methodology, Software, Validation, Writing &#x2013; original draft. IW-W: Formal analysis, Writing &#x2013; review &#x0026; editing. AL: Investigation, Writing &#x2013; review &#x0026; editing. M&#x0141;: Supervision, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec16">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<sec sec-type="COI-statement" id="sec17">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec18">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec19">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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