The Effect of Amitriptyline, Gabapentin, and Carbamazepine on Morphine-Induced Hypercarbia in Rabbits
Bibliographic record
Abstract
BACKGROUND: Severe exacerbation of chronic neuropathic pain often requires morphine in patients already treated with drugs such as tricyclic antidepressants, carbamazepine and gabapentin. However, it is unclear if a combination of these drugs intensifies the effects of morphine on the respiratory system and, if so, whether these effects are due to pharmacokinetic or pharmacodynamic interaction. METHODS: We gave rabbits (n=6 per group) the following drugs daily for 4 days: subcutaneous normal saline 1 mL (control); amitriptyline subcutaneously 7 mg/kg; carbamazepine orally 100 mg/kg; gabapentin subcutaneously 25 mg/kg; and all three drugs concurrently (combination). On the fifth day, morphine 5 mg/kg was given IV, and Paco2, Pao2 and pH were measured. Morphine, morphine 3-glucoronide and morphine 6-glucoronide concentrations were measured in the plasma over the 4 h period after morphine injection. RESULTS: Compared with controls, premorphine baseline Paco2 was significantly higher (P<0.05) in the amitriptyline group. Postmorphine Paco2 was significantly higher in the amitriptyline and combination groups at all time points over the 240 min, and in the gabapentin group at 10 and 30 min after morphine injection (P<0.05). Peak Paco2 was significantly higher in the amitriptyline group (58.4+/-1.6 mm Hg; mean SD, P<0.005) and in the combination group (57.4+/-1.0 mm Hg, P<0.02) than in the control group (50.2+/-5.2 mm Hg). Similarly, the area under the curve of Paco2 from zero to 240 min was significantly higher in the amitriptyline and combination groups than in the control (P<0.001). There were no significant differences among the groups in plasma concentrations of morphine and its metabolites. CONCLUSIONS: We conclude that pretreatment with amitriptyline increases morphine- induced hypercarbia through pharmacodynamic processes. The effects of carbamazepine or gabapentin were not obvious in this model.
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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 | 0.000 |
| 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 | 0.000 |
| 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".