Automated Reinforcement Management System (ARMS)

Completed · Not applicable

Conditions studied: Alcohol Use Disorder

In brief

Alcohol abuse remains a significant cause of preventable morbidity and mortality in the US. Yet only 15% of those with alcohol use disorders receive treatment. Contingency Management (CM) is a cost-effective intervention for drug addiction where individuals are rewarded when they submit biological verification of drug abstinence. The researchers propose to develop an integrated CM system capable of incorporating mobile device input, that would allow them to deliver a CM intervention for problematic drinking to anyone who owns a smartphone. The mobile device input will incorporate ecological momentary assessments (EMA), geospatial mapping, and biomarker-based feedback from a portable measuring device.

Key facts

Study ID

NCT04656925

Run by

Washington State University

People needed

12

Starts

2021-03-29

Expected to finish

2021-12-08

Last updated by the study team

2026-05-14

Who can join

Age: 18 and older, up to 65. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Age 18-65 years.
• An Alcohol Use Disorders Identification Test (AUDIT) score of 8 or higher.
• Ability to read and speak English.
• Ability to provide written informed consent.
• Breath alcohol of 0.00 during informed consent.
• Operate a smartphone with an active service provider.

You may not qualify if…

• Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) alcohol use disorder, severe type.
• Significant risk of dangerous alcohol withdrawal, defined as a history of alcohol detoxification or seizure in the last 12 months and expression of concern by the participant about dangerous withdrawal.
• Diagnosis of a psychotic disorder.
• Lifetime suicide attempt or suicidality in the past year.
• Any other medical or psychiatric condition that would compromise safe participation.

Where it is running

• Washington State University — Spokane, Washington, United States

Full record on ClinicalTrials.gov

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