User Acceptability of a Device-Based Opioid Overdose Intervention
Opioid OverdoseOpioid-use Disorder1 moreThis pilot study evaluates the needs of opioid users for a device-based intervention for opioid overdoses. The results of this one-time short questionnaire will inform development of a novel naloxone delivery device.
Measures to Improve Outcomes After an Opioid Overdose
Opioid OverdoseThis is a pilot study that aims to develop good clinical practices to improve outcomes after an opioid overdose and transition of care from the Emergency Department (ED) into an Office Based Opioid Treatment (OBOT) clinic for patients with opioid overdose/Opioid Use Disorder (OUD). We intend to involve UVA Emergency Medicine and Medical Toxicology physicians with buprenorphine waiver or an interest in becoming waived at our institution to implement early initiation of buprenorphine protocol. We hope that this change in practice will result in better management of patients with OUD and opioid overdose, reduce relapse and improve engagement in addiction treatment. Subjects who meet criteria will be consented in the ED and receive a buprenorphine/naloxone induction protocol, prior to discharge and referral to the OBOT clinic. Subjects who consent to take part in this study will be entered in a database to track their involvement in treatment (s) at UVA and or any opioid related UVA health visits including OPIOID OVERDOSE.
Development of an Algorithm That Predicts Hypoventilation Due to an Opioid Overdose
Drug OverdoseOpioid-Related DisordersRTM Vital Signs, LLC is developing a miniature wearable tracheal sound sensor that communicates with a cell phone containing a machine-learning diagnostic algorithm designed to detect and predict the onset of mild, moderate, and severe hypoventilation (respiratory depression) due to an opioid overdose. The purpose of this clinical trial is to develop/validate diagnostic algorithms capable of detecting/predicting the onset of hypoventilation induced by a controlled intravenous infusion of fentanyl. The wearable sensor and algorithms will provide a series of alerts and alarms to the person, caregiver, and/or emergency personnel.