Characterising ‘the munchies’; effects of delta-9-tetrahydrocannabinol (THC) vapour inhalation on feeding patterns, satiety, and macronutrient-specific food preference in male and female rats
Bibliographic record
Abstract
Abstract With approximately 4% of the world’s population using cannabis, there is need to fully understand how cannabis impacts our health. It is universally known that increased food intake is a side effect of cannabis use, also known as ‘the munchies’, and it has been established that delta-9-tetrahydrocannabinol (THC), the major psychoactive cannabinoid in cannabis, drives these feeding effects. These appetitive effects of cannabis or THC have been modeled in humans and rodents but have not been fully explored. Therefore, the aim of this study was to use a translational pre-clinical model to characterise how inhalation of vapour from a THC-dominant cannabis extract alters daily feeding patterns and macronutrient-specific food preferences, with focus on microstructural feeding pattern analysis and potential sex differences. We exposed adult male and female Sprague-Dawley rats to THC-dominant cannabis vapour or vehicle vapour daily, then gave rats access to different foods (chow, high-carbohydrate, and/or high-fat food) and post-vapour feeding patterns measured. To study macronutrient-specific food preferences, rats were given a post-vapour choice between a high-carbohydrate and a high-fat food. To assess satiety, rats were given pre-vapour access to a palatable preload in which they readily consume to become satiated. For some animals, blood and brain samples were collected post-vapour to measure phytocannabinoid and metabolite levels using mass spectrometry. We show that THC vapour inhalation increases food intake in the first hour after vapour exposure, an effect that is not dependent on food type, sex or whether animals are satiated or not. These feeding effects were a result of THC vapour decreasing feeding latency and increasing feeding bout frequency. Consistently, these acute feeding effects were compensated for through reductions in subsequent food intake, and THC vapour did not promote weight gain. THC also altered macronutrient-specific food preferences, increasing high-fat food preference in standard conditions, and increasing high-carbohydrate food preference in satiated conditions so that rats no longer significantly preferred one food over the other. Following vapour exposure, female rats had higher THC and metabolite concentrations in plasma and the hypothalamus than males and showed a stronger high-fat food preference following THC vapour compared to males when given a food choice. Overall, this study complements and builds upon previous clinical and pre-clinical data to fully characterise the effects of THC inhalation on feeding patterns and is the first to directly examine how THC alters macronutrient-specific food preferences and assess if appetitive THC-driven sex differences exist. This research sheds light on whether cannabis use can have energy-balance effects, information which is beneficial for recreational and medical cannabis users.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".