新型合成阿片类药物 (NSO) 及其不断发展的危机:利用NPS®作为实时预测工具
Elena Deligianni1,2, Davide Arillotta1,3, Alessandro Vento4
1Psychopharmacology, Drug Misuse and Novel Psychoactive Substances Research Unit, Hertfordshire Medical School, University of Hertfordshire, Hatfield AL10 9AB, UK.
Pharmaceuticals (Basel, Switzerland)
|January 28, 2026
概括
该NPSfinder工具检测到446种新型合成阿片类药物 (NSO),包括新兴的尼塔类似物. 超过一半的这些NSO被其他早期预警系统遗漏,突出了阿片类药物监测中的关键差距.
科学领域:
- 公共卫生 公共卫生
- 法医化学 法医化学
- 数字法医学数字法医学
背景情况:
- 新型合成阿片类药物 (NSO) 由于其高强度和滥用潜力,对全球公共卫生构成重大威胁.
- 国家无线运营组织的出现,特别是在在线社区中,需要实时,系统的监控.
- 现有的监控系统在检测NSO景观的快速演变方面面临挑战.
研究的目的:
- 使用NPSfinder®网络爬虫工具来检测,监控和分析不断变化的NSO场景.
- 将NPSfinder®的检测能力与已建立的早期预警系统 (EWS) 进行比较.
- 评估NPSfinder®在识别新出现的阿片类药物威胁方面的能力.
主要方法:
- 从两个时间段 (2017-2019年和2023年) 的高流量在线心理探险者平台收集数据.
- 应用NPSfinder®自动网络爬虫工具用于NSO检测.
- 对NPSfinder®发现与来自多个EWS数据库的数据进行比较分析.
主要成果:
- NPSfinder®确定了446个NSO,其中芬太尼类似物占主导地位 (n=249).
- 在2023年观察到非芬太尼类同类,特别是尼塔类化合物的显著增加.
- 超过57%的被检测到的NSO没有被其他EWS识别,这表明了优越的早期检测能力.
结论:
- NPSfinder®与其他EWS之间的有限重叠凸显了全面阿片类药物监测的挑战.
- 网络爬虫数据与现实数据集的整合对于加强NSO监控至关重要.
- 将监测数据与毒理学和临床结果相结合,对于有效的降低危害策略至关重要.
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