The overarching goal of this study phase, Phase II component is to implement Enhanced Digital-Chemosensory-Based Olfactory Training for Remote Management of Substance Use Disorders (EDITOR) device in substance use disorder (SUD) clinics to demonstrate pilot effectiveness for SUD outcomes compared to treatment as usual (TAU) and Computerized Chemosensory-Based Orbitofrontal Networks Training (CBOT) device as active control. The investigators will conduct a multi-site study of 300 adult patients with opiate use disorder (OUD), stimulant (i.e., cocaine, methamphetamine) and/or alcohol use disorder (AUD) from community and clinics to evaluate whether EDITOR is associated with better patient treatment outcomes (e.g., retention in treatment and abstinence). The pilot study will provide preliminary data needed for design of a Phase III trial, including estimates of effect size. The investigators will also explore development of machine learning/AI algorithms integrating clinical and physiological data into treatment decision guides for providers.
Substance Use Disorders, Opioid Use Disorder, Alcohol Use Disorder, Cocaine Use Disorder, Methamphetamine-dependence
The overarching goal of this study phase, Phase II component is to implement Enhanced Digital-Chemosensory-Based Olfactory Training for Remote Management of Substance Use Disorders (EDITOR) device in substance use disorder (SUD) clinics to demonstrate pilot effectiveness for SUD outcomes compared to treatment as usual (TAU) and Computerized Chemosensory-Based Orbitofrontal Networks Training (CBOT) device as active control. The investigators will conduct a multi-site study of 300 adult patients with opiate use disorder (OUD), stimulant (i.e., cocaine, methamphetamine) and/or alcohol use disorder (AUD) from community and clinics to evaluate whether EDITOR is associated with better patient treatment outcomes (e.g., retention in treatment and abstinence). The pilot study will provide preliminary data needed for design of a Phase III trial, including estimates of effect size. The investigators will also explore development of machine learning/AI algorithms integrating clinical and physiological data into treatment decision guides for providers.
Enhanced Digital-Chemosensory-Based Olfactory Training for Remote Management of Substance Use Disorders
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Clinics of Dr. Edwin Chapman @ MHDG, Washington, District of Columbia, United States, 20002
Howard University, Washington, District of Columbia, United States, 20060
Maryland Treatment Center, Rockville, Maryland, United States, 20853
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
For general information about clinical research, read Learn About Studies.
18 Years to 80 Years
ALL
No
Evon Medics LLC,
Charles Nwaokobia, PRINCIPAL_INVESTIGATOR, Evon Medics LLC
Evaristus Nwulia, MD, PRINCIPAL_INVESTIGATOR, Evon Medics LLC
Tanya Alim, MD, PRINCIPAL_INVESTIGATOR, Howard University
Edwin Chapman, MD, PRINCIPAL_INVESTIGATOR, Clinics of Dr. Edwin Chapman at MHDG
Marc Fishman, MD, PRINCIPAL_INVESTIGATOR, Maryland Treatment Center
2025-06-30