Multiple Centrally Acting Antidotes Protect against Severe Organophosphate Toxicity
Bibliographic record
Abstract
BACKGROUND: Accumulation of acetylcholine in the central nervous system is believed to account for the rapid lethality of organophosphate pesticides and chemical nerve agents. Diazepam is known to supplement atropine therapy, but its specific mechanism of action is uncertain. OBJECTIVES: To test four centrally acting agents for early antidotal efficacy in severe dichlorvos poisoning in the murine model. METHODS: The up-and-down method was used to dose four candidate antidotes: diazepam, xylazine, morphine, and ketamine. Antidotes were administered subcutaneously to unsedated adult Sprague-Dawley rats who were pretreated with 3 mg/kg intraperitoneal glycopyrrolate. All animals received 20 mg/kg of dichlorvos subcutaneously 5 minutes later. A blinded observer adjudicated the outcomes of 10-minute mortality and survival time. RESULTS: All animals pretreated with either no antidote (8/8 deaths) or glycopyrrolate alone (8/8) died within 10 minutes of dichlorvos injection. Pretreatment with diazepam (3/9 deaths), or xylazine (3/9), decreased lethality substantially (Fisher p = 0.007; median effective doses, 0.12 mg/kg and 3.0 mg/kg, respectively). Intermediate doses of morphine (3.1 to 5.5 mg/kg) resulted in survival, but higher doses did not, presumably because of excessive respiratory depression (7/11 deaths; p = 0.09). Ketamine (7/8 deaths) was ineffective as an antidote. Survival times also were prolonged in the diazepam and xylazine groups (log-rank p < 0.001) and, to a lesser degree, the morphine group (p = 0.07). CONCLUSIONS: Doses of diazepam, xylazine, and morphine below those used for deep sedation protect against severe dichlorvos poisoning, implying that several distinct central mechanisms are each sufficient to avert lethality. These findings suggest new possibilities for prophylaxis or therapy.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".