Discovering Alternative Treatments for Opioid Use Recovery Using Social Media

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems Pub Date : 2019-05-02 DOI:10.1145/3290605.3300354

Stevie Chancellor, G. Nitzburg, Andrea Hu, F. Zampieri, M. Choudhury

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引用次数: 70

Abstract

Opioid use disorder (OUD) poses substantial risks to personal well-being and public health. In online communities, users support those seeking recovery, in part by promoting clinically grounded treatments. However, some communities also promote clinically unverified OUD treatments, such as unregulated and untested drugs. Little research exists on which alternative treatments people use, whether these treatments are effective for recovery, or if they cause negative side effects. We provide the first large-scale social media study of clinically unverified, alternative treatments in OUD recovery on Reddit, partnering with an addiction research scientist. We adopt transfer learning across 63 subreddits to precisely identify posts related to opioid recovery. Then, we quantitatively discover potential alternative treatments and contextualize their effectiveness. Our work benefits health research and practice by identifying undiscovered recovery strategies. We also discuss the impacts to online communities dealing with stigmatized behavior and research ethics.

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利用社交媒体发现阿片类药物使用恢复的替代治疗方法

阿片类药物使用障碍(OUD)对个人福祉和公共卫生构成重大风险。在网络社区，用户支持那些寻求康复的人，部分是通过促进临床治疗。然而，一些社区也提倡未经临床验证的OUD治疗，例如不受监管和未经测试的药物。很少有研究表明人们会使用哪些替代疗法，这些疗法是否对康复有效，或者是否会产生负面的副作用。我们与一位成瘾研究科学家合作，在Reddit上提供了第一个大规模的社交媒体研究，研究未经临床验证的OUD康复替代疗法。我们在63个子reddit上采用迁移学习来精确识别与阿片类药物恢复相关的帖子。然后，我们定量地发现潜在的替代治疗方法并将其有效性置于环境中。我们的工作通过确定未被发现的恢复策略，有利于健康研究和实践。我们还讨论了对处理污名化行为和研究伦理的在线社区的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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