Chronic Cannabis Use Impacts Mood and Anxiety Levels in Young Adults Compared to Nonconsumers: A Literature Review
Bibliographic record
Abstract
The rising prevalence of cannabis use among young adults, fueled by legalization and changing social attitudes, raises concerns about its impact on mood and anxiety levels. This article explores the relationship between regular cannabis consumption and mental health outcomes, focusing on individuals aged 15 to 25. We examine the neurodevelopmental changes occurring during young adulthood, highlighting the potential risks associated with cannabis use, particularly in relation to the endocannabinoid system. Direct effects of cannabis, including heightened symptoms of anxiety and depression among heavy users, are discussed alongside the implications of tolerance and the seemingly contrasting effects of THC and CBD. Indirect effects, such as neurocognitive deficits and the influence of socio-economic factors, are also considered. The review emphasizes the need for a nuanced understanding of how both individual and environmental factors contribute to the varying impacts of cannabis on mental health. Ultimately, while regular cannabis use may exacerbate mood and anxiety disturbances in some individuals, others may experience reduced anxiety over time. Future research should focus on the interplay of these factors to inform public health initiatives and mental health interventions for young adults.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".