Voice Technology to Identify Opioid Use

Part of paid clinical trials in Loma Linda, California.

Sponsor
Tenvos Inc.
Study ID
NCT07603778
Status
Completed

Conditions

Eligibility Criteria

Sex
ALL
Age
18 Years - N/A
Healthy Volunteers
Not accepted

Interventions

  • Not applicable- observational study — OTHER
    Not Applicable - Observational Study

Study Details

This study explored whether changes in a person's voice could help identify opioid use in patients with opioid use disorder (OUD). Current methods for determining whether a patient is intoxicated or in withdrawal often rely on self-reporting and clinical judgment, which can be subjective and inconsistent. Drug tests are logistically challenging to administer and can be costly with repeated use. The project investigated whether physiological changes associated with opioid use could be detected through speech analysis technology. Researchers evaluated whether machine learning methods could identify voice patterns associated with opioid intoxication or withdrawal. The primary goal of the study was to assess the accuracy of voice-based biomarkers in identifying opioid use. The study also explored relationships between opioid use and specific speech characteristics.

Key Dates

Start date
Dec 10, 2024
Status verified
May 2026
Primary completion
Jun 30, 2025
Completion
Jan 30, 2026

Study Design

Enrollment
41 participants (actual)

Arms

  • Arm: Patients in treatment for opioid use disorder at the Volpicelli Center.
    Prospective longitudinal observational cohort study with repeated measures where each participant completed two visits approximately 30 days apart with repeated speech and clinical measurements. This is a prospective observational study therefore no intervention will be applied.

Primary Outcome Measure

Sensitivity and Specificity [ Time Frame: 12 months after the enrollment ]

Locations (1)

FacilityCityStateZIPSite coordinators
Loma Linda University Health, 24951 Circle Drive, Nichol Hall, Room #2042Loma LindaCalifornia92350-

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