Clinical Research Directory

Optimizing Chronic Pain Care With Mindfulness and Chronic Pain Management Visits

The primary aim of this implementation-effectiveness trial is to examine the effectiveness of Mindfulness-Oriented Recovery Enhancement (MORE) and patient-centered chronic pain management visits in primary care as interventions to reduce chronic pain, improve quality of life, and reduce opioid-related harms among chronic pain patients on long-term opioid therapy.

Study of the Safety and Feasibility of Psilocybin in Adults With Methamphetamine Use Disorder

The purpose of this research study is to investigate the safety and feasibility of two (2) oral doses of psilocybin when combined with behavioral support for methamphetamine use disorder (MUD). Participants have a diagnosis of methamphetamine use disorder (MUD). Participants can expect to be actively engaged in the study for up to 26 weeks.

GLP-1R Agonist Treatment for Opioid Use Disorder

The goal of this clinical trial is to learn if semaglutide can reduce illicit opioid use in adults in outpatient treatment for opioid use disorder, and who are receiving either buprenorphine or methadone maintenance treatment. The main question it aims to answer is: • Does semaglutide increase the likelihood that participants will refrain from using illicit and nonprescribed opioids? The investigators will compare semaglutide to a placebo (a needle prick that contains no drug) to see if semaglutide works to reduce use of illicit and nonprescribed opioids. The participants will: * Take semaglutide or a placebo every week for 12 weeks * Visit the clinic every week for urine drug screening and pregnancy testing, vital signs, and to complete mental health and drug use questionnaires * Complete smartphone surveys sent at set times during the study

Developing and Evaluating a Machine-Learning Opioid Overdose Prediction & Risk-Stratification Tool in Primary Care

This clinical trial aims to evaluate the pilot implementation of a machine-learning (ML)-driven clinical decision support (CDS) tool designed to predict opioid overdose risk within the electronic health record (EHR) system at UF Health Internal Medicine and Family Medicine clinics in Gainesville, Florida. The study will use a pre- versus post-implementation design to compare outcomes within clinics, focusing on measures such as naloxone prescribing rates and opioid overdose occurrences. Researchers will also assess the usability, acceptability, and feasibility of the CDS tool through qualitative interviews with primary care clinicians (PCPs) in the participating clinics.