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非医疗阿片类药物消费的给药途径和药物篡改模式:Reddit 讨论的数据分析和内容分析。

Patterns of Routes of Administration and Drug Tampering for Nonmedical Opioid Consumption: Data Mining and Content Analysis of Reddit Discussions.

机构信息

Department of Mathematics, University of Turin, Turin, Italy.

ISI Foundation, Turin, Italy.

出版信息

J Med Internet Res. 2021 Jan 4;23(1):e21212. doi: 10.2196/21212.

Abstract

BACKGROUND

The complex unfolding of the US opioid epidemic in the last 20 years has been the subject of a large body of medical and pharmacological research, and it has sparked a multidisciplinary discussion on how to implement interventions and policies to effectively control its impact on public health.

OBJECTIVE

This study leverages Reddit, a social media platform, as the primary data source to investigate the opioid crisis. We aimed to find a large cohort of Reddit users interested in discussing the use of opioids, trace the temporal evolution of their interest, and extensively characterize patterns of the nonmedical consumption of opioids, with a focus on routes of administration and drug tampering.

METHODS

We used a semiautomatic information retrieval algorithm to identify subreddits discussing nonmedical opioid consumption and developed a methodology based on word embedding to find alternative colloquial and nonmedical terms referring to opioid substances, routes of administration, and drug-tampering methods. We modeled the preferences of adoption of substances and routes of administration, estimating their prevalence and temporal unfolding. Ultimately, through the evaluation of odds ratios based on co-mentions, we measured the strength of association between opioid substances, routes of administration, and drug tampering.

RESULTS

We identified 32 subreddits discussing nonmedical opioid usage from 2014 to 2018 and observed the evolution of interest among over 86,000 Reddit users potentially involved in firsthand opioid usage. We learned the language model of opioid consumption and provided alternative vocabularies for opioid substances, routes of administration, and drug tampering. A data-driven taxonomy of nonmedical routes of administration was proposed. We modeled the temporal evolution of interest in opioid consumption by ranking the popularity of the adoption of opioid substances and routes of administration, observing relevant trends, such as the surge in synthetic opioids like fentanyl and an increasing interest in rectal administration. In addition, we measured the strength of association between drug tampering, routes of administration, and substance consumption, finding evidence of understudied abusive behaviors, like chewing fentanyl patches and dissolving buprenorphine sublingually.

CONCLUSIONS

This work investigated some important consumption-related aspects of the opioid epidemic using Reddit data. We believe that our approach may provide a novel perspective for a more comprehensive understanding of nonmedical abuse of opioids substances and inform the prevention, treatment, and control of the public health effects.

摘要

背景

在过去的 20 年里,美国阿片类药物泛滥这一复杂情况引发了大量医学和药理学研究,并引发了多学科讨论,探讨如何实施干预措施和政策,以有效控制其对公众健康的影响。

目的

本研究利用社交媒体平台 Reddit 作为主要数据源,调查阿片类药物危机。我们旨在找到一大批对讨论阿片类药物使用感兴趣的 Reddit 用户,追踪他们兴趣的时间演变,并广泛描述非医疗使用阿片类药物的模式,重点是给药途径和药物篡改。

方法

我们使用半自动信息检索算法识别讨论非医疗阿片类药物使用的子版块,并开发了一种基于词嵌入的方法,以找到替代的口语和非医学术语来指代阿片类物质、给药途径和药物篡改方法。我们构建了物质和给药途径采用偏好模型,估计其流行率和时间演变。最终,通过基于共同提及的比值比评估,我们衡量了阿片类物质、给药途径和药物篡改之间的关联强度。

结果

我们从 2014 年到 2018 年确定了 32 个讨论非医疗阿片类药物使用的子版块,并观察了 86000 多名可能首次使用阿片类药物的 Reddit 用户的兴趣演变。我们了解了阿片类药物消费的语言模型,并提供了阿片类物质、给药途径和药物篡改的替代词汇。提出了一种非医疗给药途径的数据驱动分类法。我们通过对阿片类物质和给药途径采用的流行度进行排名,对阿片类药物消费的时间演变进行建模,观察到相关趋势,如芬太尼等合成阿片类药物的使用量增加,以及对直肠给药的兴趣增加。此外,我们还测量了药物篡改、给药途径和物质消费之间的关联强度,发现了一些研究不足的滥用行为的证据,如咀嚼芬太尼贴片和舌下溶解丁丙诺啡。

结论

本研究使用 Reddit 数据调查了阿片类药物流行中的一些重要的消费相关方面。我们相信,我们的方法可以为更全面地了解非医疗滥用阿片类物质提供新的视角,并为预防、治疗和控制公共卫生影响提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0a5/7813634/689fee50f05c/jmir_v23i1e21212_fig1.jpg

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