Understanding the Opioid Epidemic through Pharmacovigilance Signals: an Analysis of Pharmacovigilance Datasets collecting Adverse Drug Reactions (ADRs) reported to EudraVigilance (EV) and the FDA Adverse Event Reporting System (FAERS) over 10 Years

S. Chiappini, R. Vickers-Smith, A. Guirguis, J. Corkery, G. Martinotti, D.R. Harris, F. Schifano
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Abstract

Introduction

In the past twenty years, the consumption of opioid medications has reached significant proportions, leading to the so-called opioid epidemic, characterized by cyclical waves of heroin use and the non-medical use of pharmaceutical opioids, increased dependence, and an alarming rate of opioid overdose deaths due to illicitly manufactured fentanyl, fentanyl analogues, and other chemicals, known as novel synthetic opioids (NOSs). The purpose of this study was to determine whether there are pharmacovigilance signals of abuse, misuse, and dependence, and their nature for the following prescription opioids: codeine, dihydrocodeine, fentanyl, oxycodone, pentazocine, and tramadol.

Methods

Both the pharmacovigilance datasets EudraVigilance (EV) and the FDA Adverse Events Reporting System (FAERS) were analyzed. A descriptive analysis of the selected Adverse Drug Reactions (ADRs) was performed, and pharmacovigilance signal measures (i.e., reporting odds ratio, proportional reporting ratio, information component, and empirical Bayesian geometric mean) were computed for preferred terms (PTs) of abuse, misuse, dependence, and withdrawal, as well as PTs eventually related to them (e.g., aggression, euphoric mood, etc.).

Results

From 2003 to 2018, there was an increase in ADR reports for the selected opioids in both datasets. Overall, 16,506 and 130,293 individual ADRs for the selected opioids were submitted to EV and FAERS, respectively. Compared with other opioids, abuse concerns were mostly recorded in relation to fentanyl and oxycodone, while tramadol and oxycodone were more associated with drug dependence and withdrawal. Benzodiazepines, antidepressants, antihistamines, recreational drugs (e.g., cocaine and alcohol, etc.), and several new psychoactive substances, e.g., mitragynine and cathinones, were the most commonly reported concomitant drugs.

Conclusions

Pharmacovigilance databases confirmed previous data on the abuse and dependence of prescription opioids and should be considered a resource for monitoring and preventing such issues. Psychiatrists and clinicians prescribing opioids should be aware of their misuse and dependence liability and effects that may accompany their use.
通过药物警戒信号了解阿片类药物流行:收集EudraVigilance (EV)和FDA不良事件报告系统(FAERS) 10年来报告的药物不良反应(adr)的药物警戒数据集分析
在过去二十年中,类阿片药物的消费已达到相当大的比例,导致所谓的类阿片流行病,其特点是海洛因使用和类阿片药物的非医疗使用的周期性浪潮,依赖性增加,以及由于非法制造的芬太尼、芬太尼类似物和其他化学品(称为新型合成类阿片)造成的类阿片过量死亡率惊人。本研究的目的是确定下列处方阿片类药物:可待因、二氢可待因、芬太尼、羟考酮、戊唑嗪和曲马多是否存在滥用、误用和依赖的药物警戒信号及其性质。方法对EudraVigilance (EV)和FDA不良事件报告系统(FAERS)的药物警戒数据进行分析。对选定的药物不良反应(adr)进行描述性分析,并计算滥用、误用、依赖和戒断的首选术语(PTs)及其最终相关的PTs(例如攻击性、愉悦情绪等)的药物警戒信号测量(即报告优势比、比例报告比、信息成分和经验贝叶斯几何均值)。结果从2003年到2018年,两个数据集中所选阿片类药物的不良反应报告都有所增加。总的来说,所选阿片类药物的不良反应分别提交给EV和FAERS。与其他阿片类药物相比,芬太尼和羟考酮的滥用问题最多,而曲马多和羟考酮则更多地与药物依赖和戒断有关。苯二氮卓类药物、抗抑郁药、抗组胺药、娱乐性药物(如可卡因和酒精等)和几种新的精神活性物质,如米特拉吉宁和卡西酮,是最常报告的伴随药物。结论药物警戒数据库证实了以往关于处方阿片类药物滥用和依赖的数据,应被视为监测和预防此类问题的资源。开阿片类药物处方的精神科医生和临床医生应该意识到它们的滥用和依赖责任以及可能伴随它们使用的影响。
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来源期刊
Emerging trends in drugs, addictions, and health
Emerging trends in drugs, addictions, and health Pharmacology, Psychiatry and Mental Health, Forensic Medicine, Drug Discovery, Pharmacology, Toxicology and Pharmaceutics (General)
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2.40
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