Your new experience awaits. Try the new design now and help us make it even better

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
Junge  ZhangJunge ZhangWenxin  WangWenxin WangZihui  LuZihui LuChangshun  HuangChangshun HuangHehe  WangHehe Wang*
  • The First Affiliated Hospital of Ningbo University, Ningbo, China

The final, formatted version of the article will be published soon.

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

Disclaimer: 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.