Rapidly dissolving formulations for quick absorption during pain episodes: Ibuprofen
Bibliographic record
Abstract
OBJECTIVE: Pain or its associated trauma impairs oral absorption of drugs due, perhaps, to a diminished disintegration and dissolution rate secondary to suppression of the vagal nervous system. We first examined whether ibuprofen absorption is impaired on suppressing vagus nerve activity in a rat model. Secondly, we examined if ibuprofen absorption in rats during vagal suppression and in humans experiencing dental pain is improved by enhancing disintegration and dissolution rate of the administered formulation. METHODS: Vagal suppression was achieved in rats by administering 20 mg/kg propantheline i.p. 2 h and 1 h before gastric gavage of 20 mg/kg ibuprofen as small crushed pieces of a regular release and a fast-dissolving ibuprofen caplets. In humans, after surgical removal of wisdom teeth and emergence of pain, 2 A 200 mg ibuprofen as regular released (n = 14) and fast-dissolving (n = 12) caplets were administered. Serial blood sample were collected for bioavailability studies. RESULTS: Vagal suppression resulted in significantly decreased absorption rate of ibuprofen enantiomers following administration of the regular release but not after fast-dissolving formulation. Human dental pain was associated with significantly slower absorption of ibuprofen enantiomers from the regular released as compared with the fast-dissolving caplets. Within the first hour post-dose the area under the plasma drug concentration-time curve was raised to 2.7-fold (p < 0.05) after the fast-dissolving as compared with the regular release formulations. There was a 1-h difference in the peak concentration time (tmax) between the two caplets. CONCLUSION: Impaired drug absorption appears to be due to slow disintegration and dissolution encountered during pain episodes.
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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) | 0.000 | 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".