Neurobiology of Alcohol and Nicotine Co-Addiction

Summary

Participation Requirements

Description

This proposal addresses the critical absence of information about the neurobiology of recovery from Alcohol Use Disorder (AUD) in alcohol and nicotine users. AUD and nicotine use disorder (NUD) are the most commonly abused (non-prescription) substances in the U.S. Co-addiction is particularly high i...

This proposal addresses the critical absence of information about the neurobiology of recovery from Alcohol Use Disorder (AUD) in alcohol and nicotine users. AUD and nicotine use disorder (NUD) are the most commonly abused (non-prescription) substances in the U.S. Co-addiction is particularly high in military veterans. Although nationwide estimates peg the rate of AUD/NUD co-addiction at 80%, the Substance Abuse Treatment Program (SATP) at the Veterans Affairs Portland Health Care System (VAPORHCS) finds that 90% of veterans treated for AUD also meet criteria for NUD. The investigators hypothesize that a support vector machine learning algorithm will be able to use the measures to classify subjects as AUD, NUD both or neither and that the algorithm will predict outcome (sobriety or relapse) at three months.

Tracking Information