Optimizing Smart Technology for Addiction Recovery

Optimizing Algorithmic Feedback About Lapse Risk for Trust, Engagement, and Clinical Outcomes for Alcohol Use Disorder

The goal of this study is to develop a machine-learning guided recovery messaging system. The main question it aims to answer is can messages be used to:

• help people to improve their health
• make changes in people's lives to address alcohol and substance use

Participants will:

• complete surveys
• use a recovery-support digital therapeutic system

This study seeks to optimize messaging components which can be implemented in a recovery support messaging system such as may accompany a digital therapeutic app, in order to determine optimal messaging to increase interaction with recovery support resources, and whether messaging has any effect on clinical outcomes.

Inclusion Criteria:

• meet criteria for alcohol use disorder with at least moderate severity (>= 4 DSM-5 criteria)
• in initial remission with most recent use of alcohol between 1 week and 3 months in the past
• able to read English
• have a smartphone and cellular plan that supports STAR use (Apple iOS or Android)

Exclusion Criteria:

• medical or psychiatric co-morbidities that preclude use of a smartphone