NCT07573540NARecruiting

Optimizing Smart Technology for Addiction Recovery

University of Wisconsin, Madison

Start Date

9/24/2025

Completion Date

7/31/2029

Summary

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

Detailed Description

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.

Eligibility Criteria

Age Range: 18 years to No maximum

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

Interventions

DEVICE

STAR

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Conditions

Alcohol Use DisorderAlcohol Use Disorder (AUD)

Locations

University of Wisconsin

Madison, Wisconsin 53706

United States