Clinical relevance of the pharmacokinetic characteristics of an abuse-deterrent, extended-release, injection-molded morphine tablet
Bibliographic record
Abstract
OBJECTIVE: To characterize the pharmacokinetics (PK) and in vitro alcohol dissolution characteristics of extended-release (ER), injection-molded (IM) morphine tablets with abuse-deterrent (AD) features (morphine-ADER-IMT). DESIGN: In vivo, in vitro, and in silico studies were conducted. A randomized, two-cohort study evaluated the bioequivalence of morphine-ADER-IMT (60 mg) to morphine ER (60 mg; MS Contin®; Purdue Pharma LP, Stamford, CT) and characterized the effect of food on the PK profile of morphine-ADER-IMT. A three-treatment, three-period crossover study assessed the bioequivalence of morphine-ADER-IMT (30 and 2 ȕ 15 mg) to morphine ER (30 mg). Bioequivalence studies were performed in healthy male and female subjects (18-55 y of age) in the presence of naltrexone blockade. PK modeling was performed to assess steady-state bioequivalence for morphine-ADER-IMT 60 mg compared with morphine ER 60 mg. In vitro alcohol dissolution studies were performed with morphine-ADER-IMT (15 and 60 mg). RESULTS: Fifty-nine and 56 subjects completed the 60-mg bioequivalence/food effect study and 30-mg bioequivalence study, respectively. Bioequivalence of morphine-ADER-IMT 60, 30, and 2 ȕ 15 mg and morphine ER was demonstrated to comparable doses of morphine ER. No clinically significant food effect was observed with morphine-ADER-IMT. Treatment-emergent adverse events were similar among all treatment groups. Steady-state modeling indicated bioequivalence between morphine-ADER-IMT 60 mg and morphine ER 60 mg when administered every 8 or 12 hours. No evidence of alcohol dose-dumping was observed with morphine-ADER-IMT. CONCLUSIONS: Morphine-ADER-IMT, an ER morphine formulation with robust AD features, has a clinical PK profile that is well suited for patients with chronic pain.
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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 | 0.001 | 0.004 |
| 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) | 0.002 | 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 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".