Smoke Gets in the Eye: A systematic review of case reports of ocular complications of crack cocaine use
Bibliographic record
Abstract
ISSUES: Use of crack cocaine and associated medical complications persists globally. Some reports in medical literature describe a sight-threatening condition commonly referred to as 'crack eye' or 'crack eye syndrome'. The purpose of this review is to describe what is known about crack eye from case reports in peer-reviewed literature. APPROACH: A structured search was completed in MEDLINE, TOXLINE, EMBASE, PsychInfo, Scopus and Biomed Central, to collect case reports and case series on corneal complications attributed to crack cocaine smoking. KEY FINDINGS: Of 111 articles screened, 11 contained case reports or series. Thirty individual cases of 'crack eye' were reported. The majority (63%) of cases had bilateral involvement; 83% of all cases with microbial culture results had corneal infections. Aggressive treatment caused an improvement in 95% of all cases and 23% of all cases were lost to follow up. Of those who received treatment for corneal complications associated with crack cocaine, 22% remained with significant visual impairment (hand motions only) in the affected eye. IMPLICATIONS: Clinicians should consider crack cocaine involvement in patients presenting with corneal disease without known predisposing factors, and elicit comprehensive drug histories to prevent a reduction in visual acuity. CONCLUSION: Corneal complications of crack cocaine smoking are caused by a number of synergistic factors, including direct toxicity of crack cocaine vapours to surface cells, impairment of neurogenic support to corneal epithelial integrity, desiccation of the eye surface due to diminished blinking reflex, low level chemical burns and mechanical denudement of surface cells through eye rubbing.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.012 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".