Leveraging Artificial Intelligence and Multi-Omics Data to Predict Opioid Addiction

Launched by UNIVERSITY OF CALIFORNIA, SAN DIEGO · Aug 1, 2024

Keywords

ClinConnect Summary

This clinical trial is studying how to predict a person's risk of developing opioid use disorder (OUD) using advanced technology. Researchers are testing two new methods: one looks at specific genetic markers (called SNPs) to assess risk, while the other examines the gut microbiome, which is the community of bacteria in our digestive system. By using information from existing health studies, the goal is to create reliable tools that can help identify individuals who are at a higher risk of OUD.

To participate in the study, individuals must be at least 18 years old and have a diagnosis of opioid use disorder, whether they are actively using opioids or are in recovery. However, those who cannot participate independently, are pregnant, or are children will not be eligible. Participants can expect to take part in surveys and assessments that will help researchers gather important information about their health and history. This study is currently recruiting participants from several locations, including the University of California, San Diego, and various Veteran Affairs sites.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • diagnosis of OUD (active or in remission) defined by the DSM-5 criteria
• • age ≥ 18 years old
• Exclusion Criteria:
• • inability to participate independently with the study (i.e. dementia)
• • chronic opioid use that is not consistent with a diagnosis of OUD
• • patients that are pregnant
• • children
• • institutionalized individuals
• • non-English speaking subjects as there are several surveys without appropriate translation and with sensitive information (e.g., questions about mental health and history of drug use) that is required to complete the study.