Perception and use of cannabidiol (CBD) by French pet owners
Bibliographic record
Abstract
This study explored pet owners' perceptions and use of cannabidiol (CBD) for dogs and cats in France, examining factors associated with CBD use and attitudes toward the product. A total of 2050 pet owners completed an online survey including demographic characteristics, pet health, knowledge, and attitudes toward CBD. Findings revealed that CBD use was not widespread but remained notable, with 29 % of dog owners and 13 % of cat owners reporting administration, rates lower than those reported in countries such as the United States, Canada, or Slovenia. Use was more prevalent among younger owners and those with prior personal experience of CBD or other alternative treatments. No significant difference was observed between urban and rural residents, likely due to widespread internet access facilitating information and online purchases. A higher proportion of dogs than cats received CBD, possibly due to the greater difficulty of administering oral substances to cats. Despite its relatively limited use, owners generally held positive views of CBD's safety and benefits. Longer durations of CBD administration were linked to higher satisfaction levels. Importantly, discussions with veterinarians were significantly associated with CBD use, and veterinary recommendation was reported as a strong motivator for purchase decisions. Behavioral issues and pain were the main reasons for CBD use across species. Limitations include potential selection bias, a strong sex imbalance that limits representativeness for male owners, and reliance on self-reported data without clinical confirmation. These findings underline the need for clearer regulations, enhanced veterinary education, and clinical trials to provide evidence-based guidance on CBD use in veterinary medicine.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".