Session 10: Anaesthesia and Pain Control
Bibliographic record
Abstract
INTRODUCTION/OBJECTIVE: In several EU and some US states, medical marijuana is an option for people suffering from various ailments and seeking relief. As cannabis is now sold as an oil extract, it has become a conceivable option for dogs too. There is anecdotal evidence of cannabis benefiting dogs with a range of clinical signs and diseases including seizures, nausea and other gastrointestinal signs, stress and anxiety, arthritis and cancer pain, but no information on its pharmacokinetics is available in dogs. \n \nMATERIALS AND METHODS: Six healthy intact female adult (5–7 years) Labrador dogs were used. Animals were randomly divided into 2 groups (n = 3). Group I was administered with Bedrocan (olive oil containing 20% tetrahydrocannabinol (THC) and 0.5% cannabidiol (CBD)) at 1.5 mg kg−1 THC after 12 h of fasting, while group II was administered with the same dose 15 minutes after being fed. Blood collections were performed at pre‐assigned time. Samples were analysed for THC and CBD content by LC/MS using an intra‐laboratory validated method. Briefly, to 100 μl of blood THC‐d3 and CBD‐d3 were added as internal standards (5 ng ml−1), followed by precipitation with 200 μl of acetonitrile. After shaking and centrifugation (3000 × g, 5 min), the supernatant was diluted 1:1 with the HPLC mobile phase and transferred into a LC vial. 25 μl of the sample were directly injected onto the LC‐HRMS system (a Q Exactive Orbitrap mass spectrometer coupled to a Dionex UltiMate 3000 with TurboFlow technology). Pharmacokinetic analyses were performed according to a non‐compartmental model. \n \nRESULTS AND CONCLUSIONS: No sign of excitation/sedation or visible adverse effects were detected in the dogs following the treatment. THC was quantified over the time period 45 min to 10 h and 15 min to 10 h after Bedrocan administration in the fasting and fed group, respectively. No detectable concentrations of CDB were found at any time. Fed dogs showed faster absorption Tmax (0.62 ± 0.17 h fed versus 2.33 ± 1.52 h fasted) and a higher maximal blood concentration (49.2 ± 25.5 ng ml−1 fed versus 19.1 ±8.7 ng ml−1 fasted). In contrast, feeding did not significantly affected the half‐life (2.3 ± 1.0 fasted versus 1.5 ± 0.5 h fed) or the AUC (73.8 ± 15.8 fasted versus 63.3 ± 9.2 fed ng×h ml−1) values. Although this is the first phase of a 2 × 2 cross‐over study and the power of the study is not yet adequate, after oral administration of Bedrocan, THC appears to be absorbed to the same extent reported in humans.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.276 | 0.101 |
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".