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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

OpiAID · with National Institute on Drug Abuse (NIDA) · NCT07405398

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Opens the official ClinicalTrials.gov record, with the study team’s contacts. Bored Studies doesn’t enroll anyone.

Key facts

Compensation
Not posted. Ask the study team before screening.
Who can join
Ages 22+ · All sexes
Healthy volunteers
Accepted
Study type
Interventional · Not applicable
Target enrollment
420
US sites recruiting
1
Study start
May 1, 2025
Record last updated
September 15, 2026

Status re-checked against ClinicalTrials.gov within the last 12 hours.

What the study is about

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.

Being studied: 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.

Conditions: Treatment for Opioid Use Disorder

Eligibility criteria

Copied from the official record. The study team makes the final decision at screening.

Show full criteria

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

Recruiting US locations

  • Coastal Horizon

    Wilmington, NC 28409

    Site contact: David MacQueen, Ph.D · 910.262.6661 · macqueend@uncw.edu

Study contacts (from the official record)

  • Trace Brookins · 919.355.8221 · trace@opiaid.tech
  • David Reeser · 484.824.2248 · david@opiaid.tech
All healthy volunteers studies in North Carolina →
A Study to Train a Machine Learning Algorithm for an Evaluation of… (NCT07405398) | Bored Studies