Abuse and misuse of prescription opioids: is it only an Ameri- can problem? An observational study on an Italian casuistry.
Bibliographic record
Abstract
ABSTRACT: Medical use of prescription opioids has steadily increased since the 1990s, particularly in the U.S.A. and Canada, along with abuse of these substances and significant increases in rates of addiction and death related to prescription opioids. The American authorities speak of an "addiction epidemic" and are launching a series of countermeasures to better address the problem. In Europe, there is an increasing use of prescription opioids and related problems, but the European context is much less dramatic than the American and Canadian ones. Never-theless, based on the data, it cannot be ruled out that a similar crisis will occur on the Old Continent. The aim of this study is to analyze the Italian context to better understand whether there is a possibility of an addiction epidemic. Twenty-four cases of death of people under treatment with pre-scription opioids have been retrospectively analyzed. Toxicological samples were collected with routine methods during the autopsy, followed by systematic screening for substances by diverse methods. Volatile compounds were identified using gas chromatography-flame ionization detection (GC-FID). Medical drugs and drugs of abuse were identified via the use of gas chromatography-mass spectrome-try (GC-MS) and liquid chromatography-tandem mass spectrometry (LC-MS-MS). Of a total of 24 subjects, 14 died due to an overdose of Tramadol, while 7 died due to an overdose of Buprenorphine and 3 dues to a Fentanyl overdose. The most used drug was Tramadol. Histological examination was performed with hematoxylin/eosin staining, though no significant findings emerged apart from widespread edema and focal sclerosis of the myocardium, and interstitial and alveolar edema of the lungs. Our data show that attention must be paid to prescription opioids. European institutions, as soon as possible, must implement preventive measures that avoid the recurrence of the North American situation.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".