| アブストラクト | BACKGROUND: The applicability of spontaneous reporting systems such as the US Food and Drug Administration Adverse Event Reporting System (FAERS) to detect cannabis-related safety signals remains unclear due to the potential for discrepant reporting patterns between pharmaceutical and non-pharmaceutical cannabis-derived products (CDPs). METHODS: We conducted a descriptive analysis of seven groups of CDP reports submitted to FAERS between 1999 and 2023 to investigate product definitions and reporting patterns. We then performed hypothesis-free disproportionality analyses using reporting odds ratio, proportional reporting ratio, and information component for pharmaceutical cannabidiol (CBD) and non-pharmaceutical CBD reports to assess differences in signal detection profiles, potential exposure misclassification, and the influence of reporting context. RESULTS: We identified 42 530 reports related to CDPs, characterized by highly heterogeneous terminology and variable reporting patterns by product type, reflecting the real-world CDP usage. Epidiolex reports often involved pediatric patients, whereas non-pharmaceutical CBD reports were more frequently associated with older adults and concomitant product use. Disproportionality analysis showed divergent signal profiles, with strong seizure-related events predominating for Epidiolex and a broader range of signals, including neoplasm-related and neurological events, observed for non-pharmaceutical CBD. These differences likely reflected variations in CDP indication and utilization and reporting behaviors. CONCLUSIONS: This study showed that signal detection using FAERS has potential feasibility for CDP safety surveillance. However, unique challenges related to exposure definitions, reporting patterns, motivation for utilization, and the need for a robust study design must be addressed to ensure reliable safety signal detection. |
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| ジャーナル名 | Pharmacoepidemiology and drug safety |
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| Pubmed追加日 | 2026/5/14 |
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| 投稿者 | Lopes, Priscilla O M V; Harris, Cory S; Gravel, Christopher A |
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| 組織名 | School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario,;Canada.;Department of Biology, University of Ottawa, Ottawa, Ontario, Canada.;Department of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa,;Ontario, Canada.;Department of Mathematics and Statistics, University of Ottawa, Ottawa, Ontario,;Data Literacy Research Institute, University of Ottawa, Ottawa, Ontario, Canada. |
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| Pubmed リンク | https://www.ncbi.nlm.nih.gov/pubmed/42130261/ |
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