Cannabis Use Disorder
Conditions
Brief summary
This study evaluates the effects of cannabis use reduction among adults diagnosed with cannabis use disorder (CUD). Participants will undergo an 8-week intervention combining motivational interviewing, computerized cognitive behavioral therapy (CBT4CBT), and financial incentives for reduction in urinary cannabinoids. The study aims to assess improvements in cannabis-related problems, sleep, cognitive performance, CUD severity, and quality of life.
Interventions
BEHAVIORALCBT4CBT (Computerized Cognitive Behavioral Therapy)
Participants will receive one therapist-led motivational interviewing/goal setting session followed by 7 sessions of computerized CBT4CBT.
BEHAVIORALMotivational Interviewing
Participants will receive one therapist-led motivational interviewing/goal setting session followed by 7 sessions of computerized CBT4CBT.
BEHAVIORALContingency Management
Patients will receive contingent reinforcers (financial incentives for reduction in urinary cannabinoids).
Sponsors
Medical University of South Carolina
National Institutes of Health (NIH)
National Institute on Drug Abuse (NIDA)
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
TREATMENT
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Age 18+ * Urinary cannabinoid level ≥ 50 ng/mL * DSM-5 diagnosis of CUD (mild, moderate, or severe) * Willingness to attempt cannabis reduction * Completion of Intake Visit
Exclusion criteria
* Serious medical/psychiatric conditions * Pregnancy or breastfeeding * Use of cannabis in past 30 days was for medical purposes only * Discontinuation or reduction of cannabis use may exacerbate a pre-existing condition * Cognitive or understanding difficulties, as evidenced by inability to pass informed consent quiz
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Cannabis-Related Problems | Week 8 (end-of-treatment) | Rutgers Marijuana Problem Index (RMPI)- higher scores associated with worse outcomes. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Total minutes of sleep per night | Week 8 (end-of-treatment) | Measured via Fitbit Charge. |
| Minutes of light sleep per night | Week 8 (end-of-treatment) | Measured via Fitbit Charge. |
| Minutes of rapid eye movement (REM) sleep per night | Week 8 (end-of-treatment) | Measured via Fitbit Charge. |
| Minutes of deep sleep per night | Week 8 (end-of-treatment) | Measured via Fitbit Charge. |
| Sleep efficiency rating | Week 8 (end-of-treatment) | "Sleep score" as provided by Fitbit Charge. Range is 1-100 with higher scores indicating better sleep quality/efficiency. |
| Rey Auditory Verbal Learning Test (Verbal Memory) Age-Adjusted Standard Score | Week 8 (end-of-treatment) | NIH Toolbox assessment; Higher scores indicate better cognitive functioning in this domain. |
| Oral Symbol Digit Test Age-Adjusted Standard Score | Week 8 (end-of-treatment) | NIH Toolbox assessment; Higher scores indicate better cognitive functioning in this domain. |
| Face/Name Associative Memory Test (Visual Memory) Age-Adjusted Standard Score | Week 8 (end-of-treatment) | NIH Toolbox assessment; Higher scores indicate better cognitive functioning in this domain. |
| Pattern Comparison Processing Speed Test (Processing Speed) Age-Adjusted Standard Score | Week 8 (end-of-treatment) | NIH Toolbox assessment; Higher scores indicate better cognitive functioning in this domain. |
Countries
United States
Contacts
CONTACTRachel Tomko, PhD
CONTACTErin McClure, PhD
PRINCIPAL_INVESTIGATORRachel Tomko, PhD.
Medical University of South Carolina
PRINCIPAL_INVESTIGATORErin McClure, PhD.
Medical University of South Carolina
Outcome results
None listed