Voice Technology to Identify Opioid Use

Completed

Conditions studied: Opioid Use

In brief

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 facts

Study ID

NCT07603778

Run by

Tenvos Inc.

People needed

41

Starts

2024-12-10

Expected to finish

2026-01-30

Last updated by the study team

2026-05-22

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Male or female
• At least 18 years old
• Be an active patient in treatment at the Volpicelli Center
• Have a diagnosis of Opioid Use Disorder (OUD)
• Ability to read English
• Able to comprehend and are willing to sign the informed consent form and are able to adhere to the protocol

You may not qualify if…

• Severe psychiatric comorbidity
• A chronic medical condition that interferes with speaking (note: Acute conditions that impair speech or hearing will not be considered exclusionary, but testing will be deferred until the temporary condition has been resolved)
• Non-fluency in the study language (English)

Where it is running

• Loma Linda University Health, 24951 Circle Drive, Nichol Hall, Room #2042 — Loma Linda, California, United States

Full record on ClinicalTrials.gov

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