Effects of Alcohol on the Pharmacokinetics of Morphine Sulfate and Naltrexone Hydrochloride Extended Release Capsules
Bibliographic record
Abstract
Although contraindicated, coingestion of alcohol and opioids by patients or drug abusers is a major health concern because of dangerous additive and potentially life-threatening sedative and respiratory effects. In addition, alcohol has been shown to disrupt the extended-release characteristics of certain extended-release opioid formulations, releasing a hazardous amount of opioid over a short time period. Morphine sulfate and naltrexone hydrochloride extended release capsules (MS-sNT), which contain naltrexone sequestered in each pellet core, are indicated for management of chronic, moderate to severe pain. Sequestered naltrexone is designed for release upon product tampering (crushing) to potentially mitigate morphine-induced subjective effects. This open-label, single-dose, 4-way crossover, pharmacokinetic drug interaction study compared the relative bioavailability of morphine and naltrexone when MS-sNT is administered (under fasting conditions) with increasing doses of alcohol. Thirty-two healthy, opioid-naive adults were randomized to MS-sNT administered with 240 mL of 4%, 20%, or 40% alcohol or water. No drug interaction was found between morphine in MS-sNT and 4% or 20% alcohol. Administration with 40% alcohol did not affect overall morphine exposure but was associated with a 2-fold increase in C(max) and reduction of t(max) from 9 to 4 hours versus MS-sNT taken with water. Naltrexone sequestering was successful in all treatment arms and not affected by coadministration with alcohol over the dose range tested.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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".