- 1Health Research Department, Clínica Bíblica, San José, Costa Rica
- 2Department of Pharmacy, Clínica Bíblica, San José, Costa Rica
- 3Faculty of Medicine, Universidad de Costa Rica, San José, Costa Rica
- 4Department of Psychiatry, Clínica Bíblica, San José, Costa Rica
Introduction
The COVID-19 pandemic profoundly altered the landscape of global mental health. Early meta-analyses revealed a sharp rise in anxiety, depressive symptoms, and insomnia across populations, with pooled prevalence rates exceeding 30% for both depression and anxiety (1). Subsequent longitudinal reviews reported that such disturbances often persisted months after infection or lockdown measures, indicating a sustained burden on psychological well-being (2).
Parallel to this epidemiologic shift, patterns of psychotropic medication use changed worldwide. Systematic evidence indicates that the pandemic disrupted prescribing practices, modifying both the classes and volumes of agents dispensed (3). Multinational network analyses later reported sustained increases in prescriptions for antidepressants, anxiolytics, and sedatives even as restrictions lifted. At the same time, similar trends were observed among children and adolescents, underscoring the breadth of this pharmacologic response (4, 5).
Emerging evidence indicates that post-traumatic and substance-use–related conditions significantly intensified the psychiatric burden of the COVID-19 era. Meta-analytic data report early prevalence rates of post-traumatic stress disorder (PTSD) up to 43% and anxiety up to 46%, accompanied by depressive symptoms, cognitive disturbances, and sleep disorders across hospitalized and community cohorts. Vulnerability was especially pronounced among healthcare workers and individuals with pre-existing substance use disorders (SUDs). In parallel, increased substance use (SU), particularly alcohol, tobacco, or nicotine, and other legal and illicit substances, was frequently reported as a coping response to pandemic-related stress and psychiatric symptoms. Together, these intertwined trajectories of PTSD, anxiety, and escalated SU had a measurable impact on psychotropic prescribing patterns and should be integrated into post-pandemic pharmacotherapy analyses (6).
Beyond behavioral drivers, emerging biological data suggest that the pandemic’s legacy extends to neuroimmune and inflammatory mechanisms that may influence treatment response. Neuroimaging and biomarker studies have identified persistent microglial activation and gliosis in individuals with post-COVID neuropsychiatric symptoms. At the same time, integrative reviews propose that systemic inflammation may contribute to depressive and cognitive sequelae. These insights converge with broader evidence linking dysregulated cytokine and immune pathways to major mood disorders, inviting cautious reconsideration of pharmacologic targets within psychiatry (7, 8).
Rather than viewing the pandemic as a transient interruption to established systems of care, the accumulated experience offers an opportunity to examine how crisis-driven adaptations, spanning access, prescribing practices, and mechanistic research, have reshaped psychiatric pharmacotherapy. Synthesizing these lessons is essential to inform a more rational, equitable, and biologically informed therapeutic approach for the years ahead.
Disrupted systems and adaptive prescribing
The pandemic precipitated an unprecedented restructuring of psychiatric service delivery worldwide. Telepsychiatry rapidly became a principal channel for patient contact, with mental-health-related virtual visits increasing more than tenfold compared with pre-pandemic levels and remaining substantially elevated through 2022 (9). Emergency regulatory waivers facilitated this expansion: temporary federal provisions permitted remote prescribing of controlled medications, thereby maintaining treatment continuity when in-person evaluations were restricted (10).
While these policy adjustments safeguarded access, they also introduced variability in medication adherence and equity. Multi-system cohort analyses revealed that, although overall adherence to antidepressant and antipsychotic therapy sometimes improved, significant racial and socioeconomic disparities persisted (3). Concomitantly, prescribing patterns shifted across therapeutic classes. A global systematic review documented surges in antidepressant, anxiolytic, and hypnotic use, whereas antipsychotic long-acting injectables experienced early declines due to service interruptions (11). Notably, multinational network data later showed that altered prescription volumes persisted even after restrictions eased, indicating structural rather than transient changes in practice (12).
Health systems and patients adapted through digital and logistical innovations. The introduction of online and pharmacy models enabled medication renewal and delivery when clinics were closed, helping mitigate supply-chain disruptions. Yet access to these tools was uneven: systematic evidence shows disparities in telehealth and e-pharmacy uptake across rural, older, and minority populations (13).
Collectively, these experiences revealed both the resilience and fragility of modern psychiatric pharmacotherapy systems. Rapid innovation preserved care during the crisis but underscored the need for robust oversight, equitable digital infrastructure, and rational prescribing frameworks as psychiatry transitions toward hybrid models of medication management.
The biological legacy of the pandemic
SARS-CoV-2 can influence the central nervous system through neuroimmune pathways relevant to mood and cognition, providing a plausible biological substrate for post-infection psychiatric symptoms (14). Neuroimaging studies using translocator-protein positron emission tomography (TSPO PET) have reported elevated glial activation in individuals with persistent post-COVID neuropsychiatric manifestations. These findings are consistent with neuroinflammatory processes that may modulate affective and cognitive function (7). However, these observations should be interpreted cautiously, as reported group differences are modest, show substantial overlap, and are based on relatively small samples, reflecting the exploratory nature of current biomarker research. More broadly, immunopsychiatric literature demonstrates dysregulated cytokine signaling, particularly interleukin-6 and tumor necrosis factor α, across mood disorders, suggesting overlapping inflammatory pathways that may interact with pandemic-related stressors rather than constituting disease-specific mechanisms (8).
Chronic psychosocial stress during and after the pandemic has also been linked to hypothalamic–pituitary–adrenal-axis dysregulation and immune activation, reinforcing established connections between stress, inflammation, and depressive symptomatology (15). In parallel, extensive cohort analyses indicate elevated incident risks of multiple mental-health outcomes following SARS-CoV-2 infection, supporting the relevance of biological vulnerability alongside psychosocial factors in post-pandemic psychiatric burden (16).
From a therapeutic perspective, meta-analytic data suggest that adjunctive anti-inflammatory agents can reduce depressive symptoms in selected patient subgroups, although substantial heterogeneity, modest effect sizes, and publication bias limit broad generalization (17). In parallel, rapid-acting glutamatergic interventions such as ketamine and esketamine demonstrate the potential of treatments that act beyond traditional monoaminergic mechanisms and highlight emerging efforts to align pharmacotherapy with biologically informed stratification strategies (18). Comprehensive reviews of post-acute sequelae of COVID-19 further emphasize persistent neuroinflammatory signals and their possible implications for treatment response, underscoring the need for cautious, multidisciplinary, and hypothesis-driven integration of biological markers into post-pandemic psychiatric practice rather than premature clinical application (19).
Between innovation and overprescription
The pandemic accelerated the adoption of new pharmacologic and care-delivery approaches, but it simultaneously magnified risks of medication overuse and fragmented prescribing. Systematic reviews documented marked shifts in psychotropic prescribing across antidepressants, anxiolytics, and hypnotics, reflecting adaptive yet sometimes uncoordinated responses to widespread psychosocial stressors (3). Gender-stratified analyses from the United States identified early increases in benzodiazepine and Z-hypnotic use, particularly among women, followed by partial declines. At the same time, serotonergic antidepressant prescribing remained elevated around the onset of the pandemic (20). Among older adults, population-based studies showed higher post-discharge initiation of antipsychotics and benzodiazepines during pandemic peaks, underscoring heightened vulnerability to inappropriate or excessive prescribing in this group (21).
Telemedicine-based prescribing by mental health clinicians became increasingly common, expanding access to care while also raising concerns regarding diagnostic accuracy, continuity, and clinical oversight in remote settings (22). In parallel, app-based digital interventions demonstrated small-to-moderate improvements in depressive symptoms in controlled trials, suggesting potential benefit when used as adjuncts rather than stand-alone treatments (23). Concurrently, umbrella reviews indicate that pharmacogenomic-guided treatment may improve outcomes for selected patients, supporting a cautious role for biomarker-informed prescribing within clearly defined clinical contexts. Complementary deprescribing frameworks have also emerged to address cumulative medication burden and to guide safe, structured tapering strategies (24).
Maintaining balance between innovation and stewardship remains essential. Consensus experts emphasize that progress in psychiatry depends on integrating technological and biological advances with evidence-based prescribing principles, deprescribing where appropriate, and sustained attention to person-centered care (25). Without such integration, there is a risk that new tools and delivery models may replace earlier forms of therapeutic fragmentation rather than meaningfully improving long-term outcomes.
Toward a post-pandemic framework for rational pharmacotherapy
The pandemic exposed critical gaps in medication-safety systems and reinforced the need for strengthened pharmacovigilance, as highlighted by World Health Organization reports documenting uneven adverse-event reporting (26). Integrated-care models have demonstrated improvements in adherence, reductions in emergency visits, and fewer adverse events, supporting their relevance to more rational approaches to pharmacotherapy in the post-pandemic context (27). Digital health tools, including smartphone-based interventions and web platforms, can provide additional support for symptom monitoring and prescribing decisions. At the same time, pharmacogenomic and biomarker-based strategies may enhance precision in antidepressant selection and dosing for selected patients (28). Persistent inequities in access to mental health treatments underscore the importance of policies that promote affordability, digital inclusion, and system-level equity (29). Updated deprescribing guidelines and national surveillance data further illustrate ongoing shifts in prescribing patterns and highlight the continued importance of post-marketing oversight. Taken together, these developments help inform key elements of a future-oriented approach to psychopharmacology grounded in safety, personalization, and equity, rather than defining a single, uniform model of care (30).
The post-pandemic expansion of digital health also highlights the growing yet still evolving role of artificial intelligence in pharmacovigilance. Machine-learning systems, including co-clustering algorithms and transformer-based language models, can analyze large-scale clinical datasets, prescription records, and unstructured sources such as social media to support earlier detection of potential safety signals compared with traditional methods. Emerging evaluations suggest that AI-based tools may improve adverse-event extraction, accelerate signal detection, and enhance monitoring of drug–drug interactions and substance-use patterns, particularly in populations with complex mental health and comorbidity profiles. When integrated cautiously with established surveillance networks and clinical governance structures, AI-assisted pharmacovigilance has the potential to contribute to more proactive and scalable medication-safety monitoring, while requiring ongoing validation and oversight (31, 32).
Discussion
Five years after the pandemic, psychiatric pharmacotherapy is navigating an evolving landscape shaped by innovation, safety considerations, and ongoing system redesign. Global reports from the World Health Organization and the OECD underscore that the pandemic both intensified pre-existing mental health burdens and exposed persistent weaknesses in pharmacovigilance and access (33, 34). The WHO Global Patient Safety Report 2024 identifies medication-related harm as a major preventable cause of morbidity, emphasizing the need for stronger post-marketing surveillance and reporting systems. These observations align with extensive pharmacoepidemiologic analyses demonstrating sustained increases and class shifts in psychotropic prescribing since 2020, indicating that crisis-driven practices have produced lasting structural effects on medication use (30).
The expansion of telepsychiatry and digital mental health tools remains one of the most durable transformations in clinical practice. Systematic reviews indicate that remote and blended care models can achieve clinical effectiveness comparable to in-person visits, while meta-analyses of digital interventions report consistent, though generally modest, benefits for depressive symptoms (35). However, underreporting of adverse events and variable data privacy standards highlight the need for stronger governance frameworks (36). Together, these mixed findings suggest a field in transition, moving from emergency-driven improvisation toward more regulated and evidence-based digital integration.
Parallel developments in personalized and precision psychiatry have begun to influence therapeutic decision-making. Updated umbrella reviews confirm that pharmacogenomic-guided antidepressant selection can improve response and tolerability in selected patients, although effect sizes remain moderate and population-level implementation is uneven. Emerging neuroimaging studies linking brain-circuit biomarkers to treatment response point toward future biologically informed stratification strategies, yet experts consistently caution that translation into routine practice will require further replication, cost-effectiveness analyses, and clinician training (37). Collectively, these data support cautious optimism, recognizing meaningful progress without overstating readiness for widespread clinical deployment (38).
Alongside these scientific advances, renewed efforts to redesign care delivery have gained prominence. International reviews of collaborative care models consistently demonstrate improvements in adherence, symptom reduction, and reduced emergency service utilization compared with fragmented care (39, 40). By embedding pharmacotherapy within multidisciplinary teams, these models align medication management with psychological and social interventions. However, the OECD’s 2025 analysis of mental health inequalities indicates that access to such integrative services remains uneven, particularly for rural, older, and lower-income populations, reinforcing equity as a central determinant of post-pandemic recovery (41).
Taken together, current evidence suggests that psychiatry is entering a phase of consolidation rather than transformation. The acute disruptions of the pandemic accelerated experimentation with digital prescribing, remote monitoring, and biomarker-informed care, but also amplified risks of overprescription, inequity, and inconsistent oversight. The challenge now lies in translating these advances into more coherent, safe, and equitable pharmacotherapeutic practices. Consensus experts emphasize the importance of coupling real-world data monitoring with rational prescribing and deprescribing strategies, embedding pharmacovigilance and patient participation across the continuum of care (42). Aligning innovation with stewardship is therefore essential to ensure that post-pandemic adaptations mature into sustainable, evidence-based improvements.
Responsible prescribing must also be grounded in a holistic understanding of patient well-being. Non-pharmacological strategies, including sleep hygiene, structured physical activity, nutrition, strengthening social support networks, and addressing underlying metabolic or inflammatory conditions, remain integral to comprehensive mental health care. Integrating these approaches alongside pharmacotherapy reinforces a balanced, person-centered model of care. As illustrated in Figure 1, these domains collectively represent the core components of a holistic post-pandemic approach to mental health management.
In summary, the pandemic catalyzed rapid innovation in telepsychiatry, digital prescribing, pharmacogenomics, and biomarker research, expanding therapeutic possibilities while simultaneously revealing enduring gaps in safety, equity, and coherence. Rather than marking a definitive turning point, this period offers an opportunity to consolidate lessons learned and refine existing tools. Progress in the coming decade will depend less on the introduction of new medication classes than on more thoughtful, safer, and more equitable use of those already available, thereby transforming crisis-driven adaptation into durable progress for global mental health.
Author contributions
EZ-M: Conceptualization, Investigation, Methodology, Project administration, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. RM-G: Conceptualization, Investigation, Methodology, Supervision, Validation, Writing – review & editing. JM-J: Conceptualization, Investigation, Methodology, Project administration, Validation, Visualization, Writing – original draft, Writing – review & editing. SA-C: Conceptualization, Investigation, Methodology, Project administration, Supervision, Validation, Visualization, Writing – review & editing.
Funding
The author(s) declared that financial support was not received for this work and/or its publication.
Conflict of interest
The authors declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declared that Generative AI was not used in the creation of this manuscript.
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.
Publisher’s note
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.
References
1. Wu T, Jia X, Shi H, Niu J, Yin X, Xie J, et al. Prevalence of mental health problems during the COVID-19 pandemic: A systematic review and meta-analysis. J Affect Disord. (2021) 281:91–8. doi: 10.1016/j.jad.2020.11.117
2. Bourmistrova NW, Solomon T, Braude P, Strawbridge R, and Carter B. Long-term effects of COVID-19 on mental health: A systematic review. J Affect Disord. (2022) 299:118–25. doi: 10.1016/j.jad.2021.11.031
3. Mahesarajah S, El Asmar ML, Irwin R, Vallejo-Vaz AJ, Mastellos N, and Dharmayat KI. Impact of the COVID-19 pandemic on psychotropic prescribing: a systematic review. BMJ Open. (2024) 14:e076791. doi: 10.1136/bmjopen-2023-076791
4. Luo H, Chai Y, Li S, Lau WCY, Torre CO, Hayes J, et al. Psychotropic drug prescribing before and during the COVID-19 pandemic among people with depressive and anxiety disorders: a multinational network study. Lancet Psychiatry. (2024) 11:807–17. doi: 10.1016/S2215-0366(24)00245-1
5. Valtuille Z, Acquaviva E, Trebossen V, Ouldali N, Bourmaud A, Sclison S, et al. Psychotropic medication prescribing for children and adolescents after the onset of the COVID-19 pandemic. JAMA Netw Open. (2024) 7:e247965. doi: 10.1001/jamanetworkopen.2024.7965
6. Frontera JA and Simon NM. Bridging knowledge gaps in the diagnosis and management of neuropsychiatric sequelae of COVID-19. JAMA Psychiatry. (2022) 79:811–7. doi: 10.1001/jamapsychiatry.2022.1616
7. Braga J, Lepra M, Kish SJ, Rusjan PM, Nasser Z, Verhoeff N, et al. Neuroinflammation after COVID-19 with persistent depressive and cognitive symptoms. JAMA Psychiatry. (2023) 80:787–95. doi: 10.1001/jamapsychiatry.2023.1321
8. Poletti S, Mazza MG, and Benedetti F. Inflammatory mediators in major depression and bipolar disorder. Transl Psychiatry. (2024) 14:247. doi: 10.1038/s41398-024-02921-z
9. Federal Register. Third temporary extension of COVID-19 telemedicine flexibilities for prescription of controlled medications (2024). Available online at: https://www.federalregister.gov/documents/2024/11/19/2024-27018/third-temporary-extension-of-covid-19-telemedicine-flexibilities-for-prescription-of-controlled. (Accessed December 15, 2025)
10. Rossom RC, Yeh HH, Penfold RB, Simon GE, Hooker SA, Ma L, et al. Psychiatric medication adherence in the United States before and during the COVID-19 pandemic. Pharmacoepidemiology Drug Safety. (2025) 34:e70229. doi: 10.1002/pds.70229
11. Xie W, Wang F, Qian Y, Qiu L, Zhou Q, Shen Y, et al. Internet+” pharmacy in psychiatric hospital amid COVID-19 and post-pandemic period: analysis and development. Front Psychiatry. (2024) 15:1434966. doi: 10.3389/fpsyt.2024.1434966
12. Barlati S, Nibbio G, Bianchi F, Gigli EBL, Calzavara-Pinton I, Cerati C, et al. Long-acting Injecta ble Antipsychotics during the COVID-19 pandemic in schizophrenia: An observational study in a real-world clinical setting. Psychiatry Res. (2022) 317:114878. doi: 10.1016/j.psychres.2022.114878
13. Vakkalanka JP, Gadag K, Lavin L, Ternes S, Healy HS, Merchant KAS, et al. Telehealth use and health equity for mental health and substance use disorder during the COVID-19 pandemic: A systematic review. Telemed J E Health. (2024) 30:1205–20. doi: 10.1089/tmj.2023.0588
14. Sun Z, Shi C, and Jin L. Mechanisms by which SARS-coV-2 invades and damages the central nervous system: apart from the immune response and inflammatory storm, what else do we know? Viruses. (2024) 16:663. doi: 10.3390/v16050663
15. Hassamal S. Chronic stress, neuroinflammation, and depression: an overview of pathophysiological mechanisms and emerging anti-inflammatories. Front Psychiatry. (2023) 14:1130989/full. doi: 10.3389/fpsyt.2023.1130989/full
16. Xie Y, Xu E, and Al-Aly Z. Risks of mental health outcomes in people with covid-19: cohort study. BMJ. (2022) 376:e068993. doi: 10.1136/bmj-2021-068993
17. Du Y, Dou Y, Wang M, Wang Y, Yan Y, Fan H, et al. Efficacy and acceptability of anti-inflammatory agents in major depressive disorder: a systematic review and meta-analysis. Front Psychiatry. (2024) 15:1407529. doi: 10.3389/fpsyt.2024.1407529
18. Medeiros GC, Demo I, Goes FS, Zarate CA, and Gould TD. Personalized use of ketamine and esketamine for treatment-resistant depression. Transl Psychiatry. (2024) 14:481. doi: 10.1038/s41398-024-03180-8
19. VanElzakker MB, Bues HF, Brusaferri L, Kim M, Saadi D, Ratai EM, et al. Neuroinflammation in post-acute sequelae of COVID-19 (PASC) as assessed by [11C]PBR28 PET correlates with vascular disease measures. Brain Behavior Immunity. (2024) 119:713–23. doi: 10.1016/j.bbi.2024.04.015
20. Milani SA, Raji MA, Chen L, and Kuo YF. Trends in the use of benzodiazepines, Z-hypnotics, and serotonergic drugs among US women and men before and during the COVID-19 pandemic. JAMA Netw Open. (2021) 4:e2131012. doi: 10.1001/jamanetworkopen.2021.31012
21. Cummins MR, Ivanova J, Soni H, Robbins Z, Bunnell BE, López E, et al. Telemedicine prescribing by US mental health care providers: national cross-sectional survey. JMIR Form Res. (2025) 9:e63251. doi: 10.2196/63251
22. Bae H, Shin H, Ji HG, Kwon JS, Kim H, and Hur JW. App-based interventions for moderate to severe depression: A systematic review and meta-analysis. JAMA Netw Open. (2023) 6:e2344120. doi: 10.1001/jamanetworkopen.2023.44120
23. Tesfamicael KG, Zhao L, Fernández-Rodríguez R, Adelson DL, Musker M, Polasek TM, et al. Efficacy and safety of pharmacogenomic-guided antidepressant prescribing in patients with depression: an umbrella review and updated meta-analysis. Front Psychiatry. (2024) 15:1276410. doi: 10.3389/fpsyt.2024.1276410
24. Brandt J, Bressi J, Lê ML, Neal D, Cadogan C, Witt-Doerring J, et al. Prescribing and deprescribing guidance for benzodiazepine and benzodiazepine receptor agonist use in adults with depression, anxiety, and insomnia: an international scoping review. eClinicalMedicine. (2024) 70:102507. doi: 10.1016/j.eclinm.2024.102507
25. Stein DJ, Shoptaw SJ, Vigo DV, Lund C, Cuijpers P, Bantjes J, et al. Psychiatric diagnosis and treatment in the 21st century: paradigm shifts versus incremental integration. World Psychiatry. (2022) 21:393–414. doi: 10.1002/wps.20998
26. Global patient safety report 2024 (2025). Available online at: https://www.who.int/publications/i/item/9789240095458. (Accessed December 15, 2025)
27. McHugh C, Hu N, Georgiou G, Hodgins M, Leung S, Cadiri M, et al. Integrated care models for youth mental health: A systematic review and meta-analysis. Aust N Z J sychiatry. (2024) 58:747–59. doi: 10.1177/00048674241256759
28. Diel A, Schröter IC, Robitzsch A, Jansen C, Teufel M, and Bäuerle A. E-mental Health Interventions in Inpatient Care: Scoping Review. J Med Internet Res. (2025) 27:e65947. doi: 10.2196/65947
29. Rony MKK, Das DC, Khatun M, Ferdousi S, Akter MR, Khatun M, et al. Artificial intelligence in psychiatry: A systematic review and meta-analysis of diagnostic and therapeutic efficacy. Digit Health. (2025) 11:20552076251330528. doi: 10.1177/20552076251330528
30. Chai G, Xu J, Goyal S, Woods C, Ho A, Song J, et al. Trends in incident prescriptions for behavioral health medications in the US, 2018-2022. JAMA Psychiatry. (2024) 81:396–405. doi: 10.1001/jamapsychiatry.2023.5045
31. Destere A, Marchello G, Merino D, Othman NB, Gérard AO, Lavrut T, et al. An artificial intelligence algorithm for co-clustering to help in pharmacovigilance before and during the COVID-19 pandemic. Br J Clin Pharmacol. (2024) 90:1258–67. doi: 10.1111/bcp.16012
32. Dong F, Guo W, Liu J, Patterson TA, and Hong H. Pharmacovigilance in the digital age: gaining insight from social media data. Exp Biol Med (Maywood). (2025) 250:10555. doi: 10.3389/ebm.2025.10555
33. World mental health report: Transforming mental health for all (2025). Available online at: https://www.who.int/publications/i/item/9789240049338. (Accessed December 15, 2025)
34. Lopes FV and Llena-Nozal A. Understanding and addressing inequalities in mental health. In: OECD health working papers. (Paris: OECD Publishing). (2025). Available online at: https://www.oecd.org/en/publications/understanding-and-addressing-inequalities-in-mental-health_56adb10f-en.html. (Accessed December 15, 2025)
35. Nazemi M, Kiani S, and Zakerabasali S. Tele-mental health during the COVID-19 pandemic: A systematic review of the literature focused on technical aspects and challenges. Health Sci Rep. (2023) 6:e1637. doi: 10.1002/hsr2.1637
36. Linardon J, Fuller-Tyszkiewicz M, Firth J, Goldberg SB, Anderson C, McClure Z, et al. Systematic review and meta-analysis of adverse events in clinical trials of mental health apps. NPJ Digit Med. (2024) 7:363. doi: 10.1038/s41746-024-01388-y
37. Tozzi L, Zhang X, Pines A, Olmsted AM, Zhai ES, Anene ET, et al. Personalized brain circuit scores identify clinically distinct biotypes in depression and anxiety. Nat Med. (2024) 30:2076–87. doi: 10.1038/s41591-024-03057-9
38. Khanra S, Khess CRJ, and Munda SK. Precision psychiatry”: A promising direction so far. Indian J Psychiatry. (2018) 60:373–4. doi: 10.4103/psychiatry.IndianJPsychiatry_203_18
39. Faisal MR, Salam FT, Vidyasagaran AL, Carswell C, Naseri MW, Shinwari Z, et al. Collaborative care for common mental disorders in low- and middle-income countries: A systematic review and meta-analysis. J Affect Disord. (2024) 363:595–608. doi: 10.1016/j.jad.2024.07.086
40. Schillok H, Gensichen J, Panagioti M, Gunn J, Junker L, Lukaschek K, et al. Effective components of collaborative care for depression in primary care: an individual participant data meta-analysis. JAMA Psychiatry. (2025) 82:868–76. doi: 10.1001/jamapsychiatry.2025.0183
41. Hostutler CA, Shahidullah JD, Rybak TM, Stephenson KG, Freeman KA, LaLonde L, et al. Integrated primary care and mental health service utilization: A meta-analysis. Pediatrics. (2025) 156:e2025071275. doi: 10.1542/peds.2025-071275
42. Ghodse H, Skuse D, Happell B, Summers M, Howard P, Howard B, et al. Rational prescribing of psychotropic medicines Rational prescribing of psychotropic medicines Rational prescribing of psychotropic medicines Rational prescribing of psychotropic medicines Rational prescribing of psychotropic medicines. Int Psychiatry. (2004) 1:1. doi: 10.1192/S1749367600006780
Keywords: COVID-19, digital mental health, pharmacovigilance, precision psychiatry, psychopharmacology, substance use, telepsychiatry
Citation: Zavaleta-Monestel E, Millán-González R, Mora-Jiménez J and Arguedas-Chacón S (2026) Five years after the pandemic: rethinking the pharmacological management of mental disorders. Front. Psychiatry 16:1750073. doi: 10.3389/fpsyt.2025.1750073
Received: 19 November 2025; Accepted: 19 December 2025; Revised: 18 December 2025;
Published: 12 January 2026.
Edited by:
Gaia Sampogna, University of Campania “L. Vanvitelli, ItalyReviewed by:
William Z. Potter, Consultant, Philadelphia, United StatesCopyright © 2026 Zavaleta-Monestel, Millán-González, Mora-Jiménez and Arguedas-Chacón. 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.
*Correspondence: Esteban Zavaleta-Monestel, ZXphdmFsZXRhQGNsaW5pY2FiaWJsaWNhLmNvbQ==
Ricardo Millán-González3,4