Discovering alternative treatments for opioid use recovery using social media

Stevie Chancellor; George Nitzburg; Andrea Hu; Francisco Zampieri; Munmun De Choudhury

doi:10.1145/3290605.3300354

Discovering alternative treatments for opioid use recovery using social media

Stevie Chancellor, George Nitzburg, Andrea Hu, Francisco Zampieri, Munmun De Choudhury

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

53 Scopus citations

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.

Original language	English (US)
Title of host publication	CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450359702
DOIs	https://doi.org/10.1145/3290605.3300354
State	Published - May 2 2019
Externally published	Yes
Event	2019 CHI Conference on Human Factors in Computing Systems, CHI 2019 - Glasgow, United Kingdom Duration: May 4 2019 → May 9 2019

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference	2019 CHI Conference on Human Factors in Computing Systems, CHI 2019
Country/Territory	United Kingdom
City	Glasgow
Period	5/4/19 → 5/9/19

Bibliographical note

Publisher Copyright:
© 2019 Association for Computing Machinery.

Keywords

Addiction
Alternative treatment
Online communities
Opioid use disorder
Recovery
Reddit

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access

10.1145/3290605.3300354

OpenUrl availability

Full text

Cite this

Chancellor, S., Nitzburg, G., Hu, A., Zampieri, F., & De Choudhury, M. (2019). Discovering alternative treatments for opioid use recovery using social media. In CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3290605.3300354

Discovering alternative treatments for opioid use recovery using social media. / Chancellor, Stevie; Nitzburg, George; Hu, Andrea et al.
CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2019. (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chancellor, S, Nitzburg, G, Hu, A, Zampieri, F & De Choudhury, M 2019, Discovering alternative treatments for opioid use recovery using social media. in CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019, Glasgow, United Kingdom, 5/4/19. https://doi.org/10.1145/3290605.3300354

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Discovering alternative treatments for opioid use recovery using social media

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access

OpenUrl availability

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Cite this