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Study to Detect Opioid Use and Withdrawal Using a Smartwatch

This study is testing a new technology called the Strength Band Platform, which uses a Samsung Galaxy Watch worn on your wrist. The goal is to see if this device can accurately identify when someone with Opioid Use Disorder (OUD) has recently used opioids and how severe their opioid withdrawal symptoms are. Researchers want to train a computer program (machine learning algorithm) to recognize these events based on the data collected from the watch. You might be able to join if you are at least 22 years old, have an OUD diagnosis, and are starting treatment with methadone or buprenorphine. The study aims for the device to be 80% accurate in detecting opioid use events. The current status of this study is unclear, but it plans to enroll 420 participants.

Study design
This is an interventional study planning to enroll 420 participants. It is designed to train a machine learning algorithm using data from a wearable device.
What's involved
You would wear a Samsung Galaxy Watch continuously, removing it only for charging, showering, or water activities. You must also be able to independently use smartwatch applications.
Compensation
Not stated in the trial record.
Follow-up
The primary endpoint for classification is measured at 14 days.

AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.

NCT07405398

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

Recruiting
NAAges 22+InterventionalSupportive care
OpiAID
~420 participants
Updated 2026-02-20 on ClinicalTrials.gov
What's 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.

At a glance

Recruiting sites
4 of 4 listed sites are recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Classification
Measured over 14 days

Conditions

Treatment for Opioid Use Disorder

Explore related trials

Opioid Use Disorder

Where it's being run

4 sites across 2 states
Texas3
North Carolina1

Study leadership

  • David MacQueen, PhD · STUDY_CHAIR · OpiAID

Who to contact

Trace Brookins
[email protected]
919.355.8221
Email the study team

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Do you actually qualify for this trial?

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Eligibility criteria

Inclusion

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

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

What this trial measures

  • Classification14 days

    Accurate algorithm-based classification of acute opioid dosing events in patients receiving treatment for opioid use disorder.