Pathology of toxic leucoencephalopathy in drug abuse supports hypoxic‐ischemic pathophysiology/etiology
Bibliographic record
Abstract
The histopathological features of leucoencephalopathy caused by illicit drugs (such as opioids and cocaine) are well documented in acute cases but not in long-survival cases. There are several hypotheses about the pathogenesis of this disorder, including hypoperfusion, direct drug toxicity resulting from the neurotoxic effects of the drug itself or contaminants in the illicit drug vehicle. We reviewed the post mortem findings in five males (aged 24 to 56 years, with survival intervals ranging from 7 days to 5 months) with a history of illicit drug use and concomitant fatal white matter changes. The histological characteristics of leucoencephalopathy vary with survival period. Prominent axonal injury and axonal spheroids were observed with shorter survival and spongiform changes becoming apparent with longer survival (acute and chronic incomplete infarct pattern). Necrosis was present in all cases and its appearance changed with longer survival (acute and chronic complete infarct pattern). Significant primary demyelination was not observed. These observations suggest that the primary defect in this leucoencephalopathy is hypoxic-ischemic injury, predominantly in the white matter. Spongiform leucoencephalopathy likely represents the longer-survival incomplete infarct pattern and is observed with polydrug abuse.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".