Baclofen Toxicity in Dogs
Bibliographic record
Abstract
Introduction: Baclofen is a centrally-acting skeletal muscle relaxant used to control spasticity and pain in humans. In an overdose situation, the onset of clinical signs, such as vocalization, vomiting, ataxia, disorientation, salivation, coma, weakness, recumbency, and seizures, is usually noticed. Case report: Case 1- A two-month-old female Spitz pup weighing 5 kg was brought to the Small Animal Medicine unit of Veterinary Clinical. Complex (VCC), Rajiv Gandhi Institute of Veterinary Education and Research (RIVER), Puducherry, India, with a history of vomiting, vocalization, and restlessness for the past hour. After recording the history, it was revealed that the dog had accidentally consumed four Baclofen tablets (10 mg each). The animal was immediately treated with fluids, activated charcoal, and Kaolin mixed with water (orally). The gradual reduction in clinical signs was noticed by the lower of 12 hours, and a dramatic improvement was noticed the day after, and the pup recovered completely. Case 2- A six-month-old male Labrador dog weighing 20 kg was brought to the Small Animal Medicine unit of VCC, RIVER, Puducherry, India, with a history of vocalization, restlessness, and salivation for the past two hours. After considering the history, it was revealed that the dog had accidentally ingested eight Baclofen tablets of 10 mg. The animal was immediately treated with fluids (Injection) Atropine sulfate and activated charcoal mixed with water (orally). The gradual reduction of clinical signs was noticed in less than 12 hours, dramatic improvement was noticed the next day, and the dog recovered completely. Conclusion: Timely diagnosis and proper management of the toxicity with drugs can eliminate the clinical signs, and fluid therapy can help the animal’s recovery.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".