| アブストラクト | OBJECTIVE: The study aims to identify the drugs associated with drug withdrawal syndrome in the Food and Drug Administration Adverse Event Reporting System (FAERS) and estimate their risks of causing withdrawal syndrome. METHODS: All the data were collected from FAERS from the first quarter of 2004 to the third quarter of 2023. Disproportionality analyses of odds ratio (ROR) and proportional reported ratio were conducted to identify potential adverse effects signal of drug withdrawal syndrome. RESULTS: A total of 94,370 reports related to withdrawal syndrome from the data. The top 50 drugs with most frequency reported were analyzed, and 29 exhibited a positive signal based on the number of reports. The top three categories of drugs with positive signals included opioids, antidepressant drugs and antianxiety drugs. Other classifications included opioid antagonist, muscle relaxant, antiepileptic drugs, analgesics, hypnotic sedative drugs and antipsychotic drugs. CONCLUSION: Our analysis of FAERS data yielded a comprehensive list of drugs associated with withdrawal syndrome. This information is vital for healthcare professionals, including doctors and pharmacists, as it aids in better recognition and management of withdrawal symptoms in patients undergoing treatment with these medications. |
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| ジャーナル名 | Frontiers in pharmacology |
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| Pubmed追加日 | 2024/7/26 |
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| 投稿者 | Zhang, Zheng; Yang, Qianzhi; Chen, Minghao; Yang, Wah; Wang, Yuping |
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| 組織名 | Department of Pharmacy, The First Affiliated Hospital of Jinan University,;Guangzhou, Guangdong, China.;Department of Metabolic and Bariatric Surgery, The First Affiliated Hospital of;Jinan University, Guangzhou, Guangdong, China. |
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| Pubmed リンク | https://www.ncbi.nlm.nih.gov/pubmed/39050751/ |
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