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A Study to Train a Machine Learning Algorithm for an Evaluation of the Use of Biometric Data Captured at the Wrist for the Identification of Acute Opioid Use Events and the Quantification of Opioid Withdrawal in Opioid Dependent Individuals

Who can join

Ages 22 and older · All sexes · Healthy volunteers welcome

Inclusion Criteria:

* Male or female
* Age ≥22 years at signing of informed consent
* Patients with a DSM-5 diagnosis of OUD who are eligible for MOUD induction with methadone or buprenorphine

Exclusion Criteria:

* Sleeve tattoo covering the wrist
* Subject unable to independently navigate and operate smartwatch applications
* Subject not proficient with written and spoken English
* Subject determined likely to be non-compliant by physician/HCP
* Subject likely to not be available to complete all protocol-required study visits or procedures, and/or to comply with all required study procedures to the best of the subject and investigator's knowledge.
* History or evidence of any other clinically significant disorder, condition, or disease that, in the opinion of the investigator, would pose a risk to subject safety or interfere with the study evaluation, procedures or completion.
* Subject has diminished decision making capability

About the study

To train a machine learning model/algorithm for an evaluation of the use of biometric data captured at the wrist for the identification of acute opioid use events and the quantification of opioid withdrawal in opioid dependent individuals.

What is being tested

• Train and evaluate the accuracy and reliability of the Strength Band Platform in identifying acute opioid dosing events from time-stamped biometric data collected from wrist-worn devices. (device)

Sponsor: OpiAID · Participants: 420 · Started: May 1, 2025

Contact the study team

• Trace Brookins · Phone: 919.355.8221
• David Reeser · Phone: 484.824.2248

Official record on ClinicalTrials.gov — NCT07405398

Locations in the U.S.

From ClinicalTrials.gov, data retrieved Sep 30, 2026. Each study sets its own eligibility; the study team decides who can join.