Cannabidiol and Non-Steroidal Anti-Inflammatory Drug Interactions: A Case of Drug-Induced Aseptic Meningitis
Bibliographic record
Abstract
Cannabidiol (CBD) and other marijuana derivatives are being more widely used in the medical community by people in an attempt to alleviate a variety of symptoms. While these products have shown promise in their analgesic properties, little is known about the potential pharmacological interactions of these and other drugs. We present a case of a 57-year-old Caucasian woman who presented with altered mental status, ataxia, left-sided numbness, and slurred speech. An extensive workup was completed and found to be largely unremarkable, though a thorough history revealed that her symptoms were likely caused by concurrent use of CBD and non-steroidal anti-inflammatory drugs (NSAIDs) resulting in drug-induced aseptic meningitis. The benign nature of CBD makes it a promising avenue for pain relief. Physicians and patients should be informed about the potential drug-drug interactions of CBD and other medications. J Neurol Res. 2020;10(4):132-135 doi: https://doi.org/10.14740/jnr598
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.009 | 0.007 |
| 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".