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RecruitingNCT07573540STARUpdated Jun 25, 2026

Optimizing Smart Technology for Addiction Recovery

An interventional study of STAR in Alcohol Use Disorder and Alcohol Use Disorder (AUD), sponsored by University of Wisconsin, Madison. Recruiting at 1 site in United States. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-06-25.

Sponsored by University of Wisconsin, Madison · Not applicable, Interventional, and Treatment

From the registry’s dates

  • Registered 7 months after the study started (first participant enrolled Sep 2025, registered Apr 2026).
  • Started Sep 2025; still recruiting 1 year later.
Phase
Not applicable
Study type
Interventional
Enrollment
416
Allocation
Not applicable
Ages
18 Years and older
Sex
All
01

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 system
Read the 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.

02

Conditions studied

  • Alcohol Use Disorder
  • Alcohol Use Disorder (AUD)

Browse trials for

03

In context

Alcoholism

1,606 studies on the registry are indexed under Alcoholism; 329 are open to participants now.

This study's planned enrollment of 416 is above the median of 87 across 1,371 interventional studies indexed under Alcoholism.

Browse Alcoholism studies →

Lead sponsor

University of Wisconsin, Madison is the lead sponsor of 1,161 studies on the registry; 182 are open to participants now.

Of its 151 completed or terminated interventional studies of FDA-regulated products, 114 (75%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

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

Exclusion Criteria:

  • medical or psychiatric co-morbidities that preclude use of a smartphone
05

Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
416 participants (estimated)

Study arms

  • Experimental
    STAR

    Participants will use the STAR automated recover support system for 4 months

    Device: STAR

Interventions

  • DeviceSTAR

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

    Also known as: Smart Technology for Addiction Recovery

06

What researchers measure

Primary outcomes

  1. Participant engagement with the STAR system

    Measured as days of engagement with the recovery system.

    Time frame: data collected at 2 and 4 months

Secondary outcomes

  1. Number of heavy drinking days in the previous 28 days

    Data collected via Timeline Followback (TLFB) conducted by interview at 0, 2, and 4 months. Ecological Momentary Assessment (EMA) lapse reports will be used to supplement the TLFB. These are daily surveys where the participant answers the question "have you had a drink you have not yet reported?" (Yes/No). If yes they are asked to indicate the date of their drinking and how many drinks they consumed that day (less than 1, 1-2, 3, 4, 5-6, 7-8, over 8). Four or more drinks are considered heavy drinking days for women and greater than 4 drinks are considered heavy drinking days for men.

    Time frame: data collected at baseline, 2, 4 months

  2. Number of drinking days in the previous 28 days

    Data collected via Timeline Followback (TLFB) conducted by interview at 0, 2, and 4 months. EMA lapse reports will be used to supplement the TLFB. These are daily surveys where the participant answers the question "have you had a drink you have not yet reported?" (Yes/No). If yes, they are asked to indicate the date of their drinking.

    Time frame: data collected at baseline, 2, 4 months

  3. Flourishing Scale Score

    10 items rated on 0-10 Likert scale where lower scores represent worse functioning and higher scores represent better functioning. Total possible range of scores is from 0-100.

    Time frame: data collected at baseline, 2, 4 months

  4. Generalized Anxiety Disorder-7 (GAD-7) Score

    7 items rated on 0-3 Likert scale where lower scores represent better functioning and higher scores represent worse functioning. Total possible range of scores is from 0-21.

    Time frame: data collected at baseline, 2, 4 months

  5. Multidimensional Inventory of Recovery Capital (MIRC) Score: Total Score

    1-4 Likert scale. Some items are reverse coded but higher total scores represent better functioning and lower total scores represent worse functioning. Scored as total score 4-56.

    Time frame: data collected at baseline, 2, 4 months

  6. Multidimensional Inventory of Recovery Capital (MIRC) Score: Each Domain

    1-4 Likert scale. Some items are reverse coded but higher total scores represent better functioning and lower total scores represent worse functioning. Scored in 4 domains (social, physical, human, and cultural), each from 1-14.

    Time frame: data collected at baseline, 2, 4 months

  7. Patient Health Questionnaire (PQH-9) Score

    9 items rated on 1-4 Likert scale. Total possible range of scores from 0-27 where lower scores represent better functioning and higher scores represent worse functioning.

    Time frame: data collected at baseline, 2, 4 months

  8. Digital Working Alliance Inventory (D-WAI)

    Six items rated on 1-7 Likert scale. Scored in 3 domains (Goals, Tasks, Bonds, each with 2 items) with possible scores from 2 to 14 where higher scores represent greater alliance with the STAR system in that domain.

    Time frame: data collected at 2 and 4 months

  9. Message Usefulness

    Seven items rated on 1-7 Likert scale. Total possible scores from 7 to 49 where higher scores represent greater valuation of STAR message usefulness.

    Time frame: data collected at 2 and 4 months

  10. Trust of the System

    Ten items rated on 1-7 Likert scale. Total possible scores from 10 to 70 where higher scores represent greater trust in the STAR system.

    Time frame: data collected at 2 and 4 months

07

Study locations

1 of 1 sites recruiting
  • University of Wisconsin
    Madison, Wisconsin 53706, United States
    Recruiting
08

References and documents

Individual participant data

Plan to share: Yes

Supporting information: Study protocol, Sap, Icf

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jun 25, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07573540
Lead sponsor
University of Wisconsin, Madison
Collaborators
National Institute on Alcohol Abuse and Alcoholism (NIAAA)
Responsible party
Sponsor
First posted
May 7, 2026
Start date
Sep 24, 2025
Primary completion
Jan 31, 2029 (estimated)
Completion
Jul 31, 2029 (estimated)
Last update
Jun 25, 2026

Study contacts

Susan Wanta
Contact
schneck2@wisc.edu
608-262-0387
Thea Blum
Contact
tblm4@wisc.edu
608-262-1362
John Curtin, PhD
principal investigator · University of Wisconsin, Madison

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
Yes
View the source record on ClinicalTrials.gov ↗

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