Ronald G. Thompson
Associate Professor
Also affiliated: Central Arkansas Veterans Healthcare System (2022–2023); University School (2003); Arkansas Department of Health (2023); New York University (2003); University at Buffalo, State University of New York (1964); Columbia University (1964–2014)
Faculty Researcher
PSY Psychiatry, College of Medicine
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Ronald G. Thompson investigates interventions and treatments for mental health conditions, with a particular focus on suicide prevention and substance use disorders. His research has explored the feasibility of peer-delivered safety planning in emergency departments and the acceptability of game-based interventions for adolescent prescription opioid misuse. Thompson has also examined the utility of amphetamine withdrawal paradigms and the potential of AI-based voice biomarkers for detecting depression.
His federally funded work includes a $407,301 NIH/National Institute on Drug Abuse grant for population-based analyses of healthcare utilization and outcomes in medical marijuana users and a $1,000,000 NSF Engines Development Award focused on advancing equitable access to food and health technologies in the Delta region. He has authored 23 publications with 497 citations and an h-index of 9. Thompson collaborates with several researchers at the University of Arkansas for Medical Sciences, including Michael P. Wilson, G. Andrew James, Alison Oliveto, and Michael J. Mancino.
Metrics
- h-index: 10
- Publications: 23
- Citations: 503
Selected Publications
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Geospatial ecological momentary assessment (GEMA) for opioid use disorder: Protocol for a just-in-time adaptive intervention (2026)
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Peer-Delivered Written Versus Electronic Suicide Safety Planning in the Emergency Department (2025)
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Evaluation of an AI-Based Voice Biomarker Tool to Detect Signals Consistent With Moderate to Severe Depression (2025)
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MINI-SYMPOSIUM: 2022 NIDA CRAVING CHALLENGE (2024)
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Adapting an Alcohol Care Linkage Intervention to US Military Veterans Presenting to Primary Care with Hazardous Drinking and PTSD and/or Depression Symptoms: A Qualitative Study (2023)
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Connect To Care (C2C): protocol for two-site randomized controlled pilot trial to improve outcomes for patients with hazardous drinking and PTSD and/or depression symptoms (2023)
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Do I Sound Sad? Machine Learning Detects Vocal Characteristics Indicative of Moderate to Severe Depression (2023)
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Smartphone intervention to optimize medication-assisted treatment outcomes for opioid use disorder: study protocol for a randomized controlled trial (2023)
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Smartphone intervention to optimize medication assisted treatment outcomes for opioid use disorder: study protocol for a randomized controlled trial (2023)
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Acceptability of a Game-Based Intervention to Prevent Adolescent Prescription Opioid Misuse (2022)
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Utility of a controlled amphetamine withdrawal paradigm among adults who use methamphetamine: A pilot clinical trial (2021)
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Adherence to guideline creation recommendations for suicide prevention in the emergency department: A systematic review (2021)
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“This Pandemic Is Making Me More Anxious about My Welfare and the Welfare of Others:” COVID-19 Stressors and Mental Health (2021)
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Substance use in a sexual context: the association of sex-related substance use motives with substance choice and use behaviors (2020)
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Sexual orientation and sex-related substance use: The unexplored role of bisexuality (2018)
Federal Grants 2 $1,407,301 total
Population-Based Analyses of Healthcare Utilization and Outcomes in Users of Medical Marijuana
Grants & Funding
As listed on this researcher's institutional profile. Federal awards with verified records are shown above.
- Medication-Assisted Treatment Services using Opioid Use Disorder Substance Abuse & Mental Health Services Administration via Arkansas Department of Human Services Principal Investigator
- Neurocognitive Mechanisms Underlying Smartphone-Assisted Prevention of Relapse in Opioid Use Disorder NIH Co-Investigator
- Junior Faculty Development Award: Chronic Pain and its Influence on Mental Health in Older Adults. HRSA Geriatric Workforce Enhancement Program, Geriatric Fellowship from AR Geriatric Education Collaborative (AGEC) Principal Investigator
- Improving Emergency Department Management of Acute and Chronic Pain Using Non-Opioid Strategies Substance Abuse & Mental Health Services Administration via Substance Abuse & Mental Health Services Administration Principal Investigator
Collaboration Network
Top Collaborators
- Utility of a controlled amphetamine withdrawal paradigm among adults who use methamphetamine: A pilot clinical trial
- Evaluation of an AI-Based Voice Biomarker Tool to Detect Signals Consistent With Moderate to Severe Depression
- Adherence to guideline creation recommendations for suicide prevention in the emergency department: A systematic review
- Do I Sound Sad? Machine Learning Detects Vocal Characteristics Indicative of Moderate to Severe Depression
- Peer-Delivered Written Versus Electronic Suicide Safety Planning in the Emergency Department
- Utility of a controlled amphetamine withdrawal paradigm among adults who use methamphetamine: A pilot clinical trial
- Smartphone intervention to optimize medication-assisted treatment outcomes for opioid use disorder: study protocol for a randomized controlled trial
- Smartphone intervention to optimize medication assisted treatment outcomes for opioid use disorder: study protocol for a randomized controlled trial
- Geospatial ecological momentary assessment (GEMA) for opioid use disorder: Protocol for a just-in-time adaptive intervention
- Utility of a controlled amphetamine withdrawal paradigm among adults who use methamphetamine: A pilot clinical trial
- Adherence to guideline creation recommendations for suicide prevention in the emergency department: A systematic review
- Acceptability of a Game-Based Intervention to Prevent Adolescent Prescription Opioid Misuse
- Smartphone intervention to optimize medication-assisted treatment outcomes for opioid use disorder: study protocol for a randomized controlled trial
- Smartphone intervention to optimize medication assisted treatment outcomes for opioid use disorder: study protocol for a randomized controlled trial
- Geospatial ecological momentary assessment (GEMA) for opioid use disorder: Protocol for a just-in-time adaptive intervention
- Smartphone intervention to optimize medication-assisted treatment outcomes for opioid use disorder: study protocol for a randomized controlled trial
- Smartphone intervention to optimize medication assisted treatment outcomes for opioid use disorder: study protocol for a randomized controlled trial
- MINI-SYMPOSIUM: 2022 NIDA CRAVING CHALLENGE
- Smartphone intervention to optimize medication-assisted treatment outcomes for opioid use disorder: study protocol for a randomized controlled trial
- Smartphone intervention to optimize medication assisted treatment outcomes for opioid use disorder: study protocol for a randomized controlled trial
- Smartphone intervention to optimize medication-assisted treatment outcomes for opioid use disorder: study protocol for a randomized controlled trial
- Smartphone intervention to optimize medication assisted treatment outcomes for opioid use disorder: study protocol for a randomized controlled trial
- Smartphone intervention to optimize medication-assisted treatment outcomes for opioid use disorder: study protocol for a randomized controlled trial
- Smartphone intervention to optimize medication assisted treatment outcomes for opioid use disorder: study protocol for a randomized controlled trial
- Smartphone intervention to optimize medication-assisted treatment outcomes for opioid use disorder: study protocol for a randomized controlled trial
- Smartphone intervention to optimize medication assisted treatment outcomes for opioid use disorder: study protocol for a randomized controlled trial
- Evaluation of an AI-Based Voice Biomarker Tool to Detect Signals Consistent With Moderate to Severe Depression
- Do I Sound Sad? Machine Learning Detects Vocal Characteristics Indicative of Moderate to Severe Depression
- Evaluation of an AI-Based Voice Biomarker Tool to Detect Signals Consistent With Moderate to Severe Depression
- Do I Sound Sad? Machine Learning Detects Vocal Characteristics Indicative of Moderate to Severe Depression
- Evaluation of an AI-Based Voice Biomarker Tool to Detect Signals Consistent With Moderate to Severe Depression
- Do I Sound Sad? Machine Learning Detects Vocal Characteristics Indicative of Moderate to Severe Depression
- Connect To Care (C2C): protocol for two-site randomized controlled pilot trial to improve outcomes for patients with hazardous drinking and PTSD and/or depression symptoms
- Adapting an Alcohol Care Linkage Intervention to US Military Veterans Presenting to Primary Care with Hazardous Drinking and PTSD and/or Depression Symptoms: A Qualitative Study
- Connect To Care (C2C): protocol for two-site randomized controlled pilot trial to improve outcomes for patients with hazardous drinking and PTSD and/or depression symptoms
- Adapting an Alcohol Care Linkage Intervention to US Military Veterans Presenting to Primary Care with Hazardous Drinking and PTSD and/or Depression Symptoms: A Qualitative Study
- Connect To Care (C2C): protocol for two-site randomized controlled pilot trial to improve outcomes for patients with hazardous drinking and PTSD and/or depression symptoms
- Adapting an Alcohol Care Linkage Intervention to US Military Veterans Presenting to Primary Care with Hazardous Drinking and PTSD and/or Depression Symptoms: A Qualitative Study
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