Effects of adolescent cannabinoid administration in mice on behavioural inhibition and susceptibility to stress during adulthood
Bibliographic record
Abstract
Background: Cannabis is one of the most frequently used substances by adolescents. Early exposure to psychoactive compounds has been shown to alter normal brain development and has consequences for psychiatric illness and behaviour in adulthood. In this study, we explored the effects of adolescent synthetic cannabinoid exposure on susceptibility to stress in adulthood, in addition to changes in impulsive behaviour. Methods: Chronic treatment with synthetic cannabinoid WIN55,212-2 (WIN) at various doses in adolescent mice was followed by the chronic social defeat stress paradigm in adulthood to assay changes in susceptibility to stress. We then employed the operant Go/No-Go task to investigate changes in impulsivity. Results: No changes in susceptibility to stress were identified (χ2(3)=0.585, p=0.900). Strikingly, we demonstrated a dose dependent decrease in impulsivity of adolescent WIN-treated subjects as measured using the Go/No-Go task (F(3, 20)=5.743, p=0.0053). Limitations: The main limitation of our findings is the small sample size, particularly for assaying changes in susceptibility to stress using the chronic social defeat stress paradigm. Furthermore, the single housing of animals and suboptimal performance of controls may have affected our findings in the Go/No-Go task. Conclusion: Overall, this study presents a novel behavioural finding consequent to adolescent exposure to cannabinoids. Further research into the long-term effects of cannabinoid use in adolescence is needed, especially in light of its prevalent use and legalization in Canada.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".