Evaluation of the use of intranasal atipamezole to reverse the sedative effects of xylazine in dogs
Bibliographic record
Abstract
OBJECTIVE: To assess the ability of intranasal atipamezole to reverse sedative effects of xylazine in dogs. DESIGN: Prospective proof-of-concept study. SETTING: University research laboratory. ANIMAL: Six healthy, staff-owned dogs. INTERVENTIONS: Dogs were sedated with 1.1 mg/kg of xylazine intravenously. The sedation score of each dog was recorded every 5 minutes until they achieved a sedation score of >13/21 for 3 readings. Once achieved, 0.3 mg/kg of atipamezole was administered intranasally using a mucosal atomization device. Sedation scores continued to be recorded every 5 minutes until successful reversal was achieved (<4/21). MEASUREMENTS AND MAIN RESULTS: Average times to standing and normal wakefulness after administration of intranasal atipamezole were 6 minutes, 30 seconds and 7 minutes, 20 seconds, respectively. CONCLUSIONS: Intranasal atipamezole successfully reversed the sedation effects of xylazine. The findings of this study provide justification for future controlled prospective studies into the potential use of intranasal atipamezole in a variety of settings including exposure to xylazine in operational canines as well as bioavailability studies for optimal dosing.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".