Effect of Administration Route and Length of Exposure on Pharmacokinetics and Metabolism of Diltiazem in Dogs
Bibliographic record
Abstract
The objective of this study was to systematically determine the pharmacokinetics and metabolism of diltiazem (DTZ) after a single i.v. dose, and after single and multiple oral (p.o.) doses. Four mongrel dogs (3 M, 1 F), aged 1-3 years, body weight 19-25 kg, were each given a single 30 mg dose of DTZ as a solution by i.v injection, the same dose orally from an immediate release tablet (Cardizem, Aventis Pharma, Canada, QC), and also t.i.d. for 10 doses. A 3-4 week washout period was allowed between each treatment. Blood samples (4 ml each) were obtained after each treatment from each animal via a cephalic vein at 0 (just before dosing), 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 4.0, 6.0, 8.0, and 12.0 h post dose. Urine samples were collected for 24 h. The plasma samples were immediately separated by centrifugation and stored at -20 degrees C until analysis. The results showed that the bioavailability after a single p.o. dose of DTZ was 26+/-24%. Following a single i.v. dose, DTZ declined bi-exponentially with a terminal half-life (t1/2) of 4.2+/-1.7 h. N-Monodesmethyl DTZ (M(A)), deacetyl DTZ (M1), and deacetyl N-monodesmethyl DTZ (M2) were the major metabolites. Contrary to the results observed in clinical studies, there were no increase of plasma concentrations of DTZ after repeated doses (accumulation factor R = 0.94+/-0.51). Plasma concentrations of M1 decreased following repeated oral doses, accompanying by an increase of plasma concentrations of M2, although these changes were not statistically significant (p >0.05). This study cautions the use of mongrel dogs for direct extrapolation to humans, particularly for chronic pharmacokinetics studies of DTZ.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".