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Record W3036120853 · doi:10.14740/jnr.v0i0.598

Cannabidiol and Non-Steroidal Anti-Inflammatory Drug Interactions: A Case of Drug-Induced Aseptic Meningitis

2020· article· en· W3036120853 on OpenAlexvenueno aff
Mallory Emig, Jafar Kafaie, Samantha Ong, Xujia Li

Bibliographic record

VenueJournal of Neurology Research · 2020
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCannabidiolDrugAseptic meningitisAtaxiaAnalgesicMeningitisIntensive care medicinePharmacologyPsychiatryCannabis

Abstract

fetched live from OpenAlex

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

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.582
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.049
GPT teacher head0.371
Teacher spread0.322 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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