Actively Recruiting
Study of Wearable Sensors to Monitor Physiological Signs of Opioid Withdrawal and Cravings in Adults With Opioid Use Disorder Undergoing Detoxification Treatment
Led by Spark Biomedical, Inc. · Updated on 2026-06-02
20
Participants Needed
2
Research Sites
8 weeks
Total Duration
AI-Summary
What this Trial Is About
Researchers are studying physiologic signals to understand changes in the autonomic nervous system during opioid withdrawal and cravings. This observational clinical trial involves 20 participants with a history of dependence on prescription or non-prescription opioids. The study aims to collect detailed data to better quantify withdrawal and craving symptoms during a detoxification process. Participants will wear two devices continuously during a 14-day inpatient detoxification treatment. The EmbracePlus Smartwatch monitors heart rate, heart rate variability, skin conductance, skin temperature, motion, and blood oxygen saturation. The Corti Sensor is worn on the forearm and measures sweat cortisol, melatonin, tumor necrosis alpha, and interleukin-6 levels. These devices gather continuous physiological data throughout the detox period. During the study, participants will be assessed daily using several scales that measure opioid withdrawal symptoms and cravings, including the Short Opioid Withdrawal Scale Gossop, Clinical Opioid Withdrawal Scale, and Opioid Craving Visual Analog Scale. Adverse events will also be tracked daily. Participants must wear the sensors continuously for 14 days, and researchers will monitor physiological changes alongside clinical assessments to better understand opioid withdrawal and cravings.
CONDITIONS
Brief Title
Sensing Physiological Symptoms of Opioid Withdrawal and Cravings in Patients With Opioid Use Disorder
Research Team
C
Caroline Benner
B
Brooke Le
Not the Right Trial for You?
Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.
Already have an account? Log in here