ORIGINAL RESEARCH article
Front. Pharmacol.
Sec. Pharmacoepidemiology
Volume 16 - 2025 | doi: 10.3389/fphar.2025.1700112
Integrated Pharmacovigilance of Fentanyl: Multinational Analysis Reveals Novel Safety Signals and Demographic-Specific Risk Profiles
Provisionally accepted- The First Affiliated Hospital of Ningbo University, Ningbo, China
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Background: This study aimed to characterize the comprehensive safety profile of fentanyl, including emerging and demographic-specific risks, by analyzing international pharmacovigilance data. Methods: We conducted a retrospective analysis of fentanyl-associated adverse drug events (ADEs) from the FDA Adverse Event Reporting System (FAERS) and the Japanese Adverse Drug Event Report database (JADER) (2004–2025). Data integration was followed by rigorous cleaning, standardization using MedDRA v27.0, and multi-method disproportionality analysis (ROR, PRR, BCPNN, MGPS). Sensitivity analyses and time-to-onset modeling were performed to evaluate temporal risk dynamics. Results: Among 76,903 reports, 396 significant signals were detected in FAERS and 95 in JADER. FAERS emphasized behavioral and device-related events (e.g., drug abuse [ROR=31.3], administration errors [ROR=71.08]), while JADER captured acute physiological events (e.g., respiratory depression [ROR=57.41], neonatal respiratory failure [ROR=212.77]). Novel signals included Kounis syndrome, application site injuries, and neonatal withdrawal. Gender disparities showed higher risks of administration errors and application site reactions in females, and misuse and overdose in males. Most events (51%) occurred within one month of treatment initiation. Conclusion: Fentanyl's risk profile varies significantly across regions and demographics, influenced by reporting biases and clinical use patterns. These findings advocate for global harmonization of surveillance practices and targeted risk mitigation strategies.
Keywords: Fentanyl, Pharmacovigilance, Adverse drug events, Signal detection, Opioid safety
Received: 06 Sep 2025; Accepted: 29 Sep 2025.
Copyright: © 2025 Zhang, Wang, Lu, Huang and Wang. 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) or licensor 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: Hehe Wang, entwhh@hotmail.com
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