苯二氮卓繁荣:使用分析和社会聆听技术追踪 2016 年英国精神活性法案颁布前至今的艾替唑仑、吡拉唑仑和氟溴西泮。

IF 2 Q3 PHARMACOLOGY & PHARMACY
Pharmacy Pub Date : 2024-01-12 DOI:10.3390/pharmacy12010013
Anthony Mullin, Mark Scott, Giorgia Vaccaro, Giuseppe Floresta, Davide Arillotta, Valeria Catalani, John M Corkery, Jacqueline L Stair, Fabrizio Schifano, Amira Guirguis
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引用次数: 0

摘要

导言:特制苯并二氮杂卓(DBZD)市场在逃避监管的同时继续扩大。支持使用毒品的社区广泛采用社交媒体,鼓励人们围绕 DBZD 的使用/滥用展开积极讨论,从而推动了需求。本研究探讨了三种流行的 DBZD(依替唑仑(E)、氟溴西泮(F)和吡唑仑(P))十多年来在毒品市场上的演变情况,比较了在 2016 年英国《精神活性物质法案》实施之前从互联网上购买的片剂样本的定量化学分析与社交媒体内容的主题性网络分析:方法:2016 年初从互联网上购买药物样本。使用超高效液相色谱-质谱(UHPLC-MS)对所有批次的药物进行表征,并辅以 1H NMR。此外,还在 2016-2023 年间对 X(原 Twitter)和 Reddit 平台进行了网络地理研究。人工智能(AI)驱动的专题分析(使用 numerous.ai 和 ChatGPT 对社交媒体主题和讨论进行分析)为后者提供了支持:超高效液相色谱-质谱(UHPLC-MS)证实了每个样品中都含有预期药物,所有批次的批间/批内差异显著(E = 13.8 ± 0.6 至 24.7 ± 0.9 毫克;F = 4.0 ± 0.2 至 23.5 ± 0.8 毫克;P = 5.2 ± 0.2 至 11.5 ± 0.4 毫克)。1H NMR 无法确认任何依替唑仑批次中的依替唑仑是独立化合物。主题分析显示,依替唑仑在社交媒体讨论中占主导地位(占所有帖子的59%),其中24.2%的帖子涉及销售/购买,17.8%的帖子详细介绍了新的用药趋势/多药使用情况。人工智能确认了人工确定的五大趋势中的三个:在所有检测样本中发现的纯度差异强调了与消费 DBZD 相关的潜在健康风险的增加。我们认为,X 和 Reddit 上记录的网络社交媒体讨论加剧了全球 DBZD 市场。尽管出现了更新的类似物,但这三种 DBZD 仍在流行和普及。尽管 DBZD 具有烈性和潜在的生命风险,但报告关于危害/影响的主题和多种药物使用趋势的新发展,表明对 DBZD 的需求仍在继续增长。建议加强对社交媒体用户内容的控制和持续实时监测,以推动积极的监管策略和有针对性的有效减害策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Benzodiazepine Boom: Tracking Etizolam, Pyrazolam, and Flubromazepam from Pre-UK Psychoactive Act 2016 to Present Using Analytical and Social Listening Techniques.

Introduction: The designer benzodiazepine (DBZD) market continues to expand whilst evading regulatory controls. The widespread adoption of social media by pro-drug use communities encourages positive discussions around DBZD use/misuse, driving demand. This research addresses the evolution of three popular DBZDs, etizolam (E), flubromazepam (F), and pyrazolam (P), available on the drug market for over a decade, comparing the quantitative chemical analyses of tablet samples, purchased from the internet prior to the implementation of the Psychoactive Substances Act UK 2016, with the thematic netnographic analyses of social media content.

Method: Drug samples were purchased from the internet in early 2016. The characterisation of all drug batches were performed using UHPLC-MS and supported with 1H NMR. In addition, netnographic studies across the platforms X (formerly Twitter) and Reddit, between 2016-2023, were conducted. The latter was supported by both manual and artificial intelligence (AI)-driven thematic analyses, using numerous.ai and ChatGPT, of social media threads and discussions.

Results: UHPLC-MS confirmed the expected drug in every sample, showing remarkable inter/intra batch variability across all batches (E = 13.8 ± 0.6 to 24.7 ± 0.9 mg; F = 4.0 ± 0.2 to 23.5 ± 0.8 mg; P = 5.2 ± 0.2 to 11.5 ± 0.4 mg). 1H NMR could not confirm etizolam as a lone compound in any etizolam batch. Thematic analyses showed etizolam dominated social media discussions (59% of all posts), with 24.2% of posts involving sale/purchase and 17.8% detailing new administration trends/poly-drug use scenarios. Artificial intelligence confirmed three of the top five trends identified manually.

Conclusions: Purity variability identified across all tested samples emphasises the increased potential health risks associated with DBZD consumption. We propose the global DBZD market is exacerbated by surface web social media discussions, recorded across X and Reddit. Despite the appearance of newer analogues, these three DBZDs remain prevalent and popularised. Reporting themes on harm/effects and new developments in poly-drug use trends, demand for DBZDs continues to grow, despite their potent nature and potential risk to life. It is proposed that greater controls and constant live monitoring of social media user content is warranted to drive active regulation strategies and targeted, effective, harm reduction strategies.

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来源期刊
Pharmacy
Pharmacy PHARMACOLOGY & PHARMACY-
自引率
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11 weeks
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