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Optimizing Smart Technology for Addiction Recovery

NCT07573540 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 416

Last updated 2026-05-07

No results posted yet for this study

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 app

Conditions

Interventions

DEVICE

STAR

Automated recovery support messaging system for participants with alcohol use disorder (AUD), paired with a machine learning guided relapse risk prediction model.

Sponsors & Collaborators

  • National Institute on Alcohol Abuse and Alcoholism (NIAAA)

    collaborator NIH

  • University of Wisconsin, Madison

    lead OTHER

Principal Investigators

  • John Curtain, PhD · University of Wisconsin, Madison

Study Design

Allocation
NA
Purpose
TREATMENT
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-05-31
Primary Completion
2029-05-31
Completion
2029-05-31
FDA Device
Yes

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07573540 on ClinicalTrials.gov