Improving assessments for substance use disorders using advanced computational methods

Utility of adaptive design optimization for developing rapid and reliable behavioral paradigms for substance use disorders

['FUNDING_R01'] · VIRGINIA COMMONWEALTH UNIVERSITY · NIH-10911011

This study is looking to improve how we understand substance use disorders by creating quicker and more reliable tests that measure important behaviors, and it’s designed for people who are dealing with these challenges to help find better treatment options.

Quick facts

Phase['FUNDING_R01']
Study typeNih_funding
SexAll
SponsorVIRGINIA COMMONWEALTH UNIVERSITY (nih funded)
Locations1 site (RICHMOND, UNITED STATES)
Trial IDNIH-10911011 on ClinicalTrials.gov

What this research studies

This research aims to enhance the assessment of substance use disorders (SUD) by developing faster and more reliable behavioral tests. It focuses on three key areas: executive function, incentive salience, and negative emotionality, which are crucial for understanding SUD. By utilizing Bayesian adaptive design optimization, the study seeks to create efficient neurobehavioral probes that can provide accurate insights into these domains, ultimately reducing the time and complexity of current assessment methods. Patients will participate in tasks designed to gather valuable data that can lead to better treatment strategies.

Who could benefit from this research

Good fit: Ideal candidates for this research are individuals diagnosed with substance use disorders who are seeking more effective assessment and treatment options.

Not a fit: Patients who do not have substance use disorders or those who are not interested in participating in behavioral assessments may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more accurate and quicker assessments of substance use disorders, improving treatment outcomes for patients.

How similar studies have performed: Previous research has shown promise in using adaptive designs for behavioral assessments, indicating potential success for this novel approach.

Where this research is happening

RICHMOND, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.

View on NIH RePORTER →

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.