Artificial intelligence interventions focused on opioid use disorders: A review of the gray literature

Oliver L Quick, Tara Beaulieu*, Rod Knight, Seonaid Nolan, Lianping Ti

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)

Abstract

Background: With the artificial intelligence (AI) paradigm shift comes momentum toward the development and scale-up of novel AI interventions to aid in opioid use disorder (OUD) care, in the identification of overdose risk, and in the reversal of overdose.

Objective: As OUD-specific AI interventions are relatively recent, dynamic, and may not yet be captured in the peer-reviewed literature, we conducted a review of the gray literature to identify literature pertaining to OUD-specific AI interventions being developed, implemented and evaluated.

Methods: Gray literature databases, customized Google searches, and targeted websites were searched from January 2013 to October 2019. Search terms include: AI, machine learning, substance use disorder (SUD), and OUD. We also requested recommendations for relevant material from experts in this area.
Original languageEnglish
Pages (from-to)1-17
Number of pages17
JournalThe American Journal of Drug and Alcohol Abuse
Early online date2 Oct 2020
Publication statusPublished - 2 Oct 2020

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