Cannabidiol Effect on Anxiety Symptoms and Stress Response in Individuals With Cocaine Use Disorder: Exploratory Results From a Randomized Controlled Trial
Bibliographic record
Abstract
OBJECTIVES: Individuals with a cocaine use disorder (CUD) are more likely to present anxiety, which in turn negatively impacts substance use outcomes. Some evidence suggests that cannabidiol (CBD) presents anxiolytic properties and could be a treatment for substance use disorders. This study explores CBD's effect on stress biomarker (cortisol) and anxiety symptoms in people with CUD. METHODS: Exploratory analyses were conducted using data from a randomized, double-blind, placebo-controlled trial evaluating CBD's efficacy to treat CUD. We randomized 78 individuals with CUD into receiving a daily oral dose up to 800 mg CBD (n = 40) or placebo (n = 38). The trial was divided into 2 phases: an inpatient detoxification lasting 10 days and an outpatient follow-up lasting 12 weeks. Anxiety symptoms and stress response were assessed using a visual analog scale, the Beck Anxiety Inventory, and cortisol levels at multiple time points throughout the study. We also measured anxiety after a stressful and a cocaine-cue scenarios. We used generalized estimating equations models and multiple linear regression to assess CBD's effects on anxiety and cortisol levels. RESULTS: Both treatment groups had similar mean anxiety scores according to the Beck Anxiety Inventory ( P = 0.27) and the visual analog scale ( P = 0.18). CBD did not decrease anxiety after a stressful ( P = 0.14) and a cocaine ( P = 0.885) scenarios compared with placebo. No statistically significant group difference was found in cortisol levels ( P = 0.76). CONCLUSIONS: We found no evidence for 800 mg of CBD to be more efficacious than placebo for modulating anxiety symptoms and cortisol levels in individuals with CUD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".