Tetrahydrocannabivarin (THCV) Dose Dependently Blocks or Substitutes for Tetrahydrocannabinol (THC) in a Drug Discrimination Task in Rats
Bibliographic record
Abstract
Delta-9-Tetrahydrocannabivarin (THCV), a naturally occurring cannabinoid and structural analog of THC, exhibits a dual pharmacological profile as a CB1 receptor agonist/antagonist and a partial CB2 agonist. This study evaluated the effects of THCV in a THC discrimination model in rats. Male Sprague-Dawley rats (n = 16, 300–340 g, PND60) were trained under a fixed ratio 20 (FR20) schedule to discriminate THC (3 mg/kg) from vehicle. Substitution tests were conducted with THC (0.325–3 mg/kg), THCV (0.75–6 mg/kg), and THC-THCV combinations. THCV produced an inverted U-shaped substitution curve, significantly differing from vehicle (p = 0.008). At 3 mg/kg, THCV partially substituted for THC (54.6% ± 17.82, p = 0.003). Response rate significantly increased during the substitution test with 3 mg/kg of THCV (p = 0.042). THCV (6 mg/kg) reversed THC (0.75 mg/kg)-induced responding (p = 0.040), with no significant change in response rate (p = 0.247). However, THCV combined with THC (1.5 mg/kg) affected response rates (p = 0.012), with 6 mg/kg significantly reducing rates vs. 3 mg/kg (p = 0.013). Blood THC and 11-OH-THC levels remained unchanged when THC was combined with THCV. The findings suggest THCV can partially mimic or block THC’s discriminative effects in a dose-dependent manner, possibly acting as a partial CB1 agonist.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".