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Record W2997153920 · doi:10.1097/wnp.0000000000000637

The Use of Cannabis as a Treatment for Epilepsy in Adult Patients: Are Side Effects a Limitation of Use?

2019· review· en· W2997153920 on OpenAlexaff
José Francisco Téllez‐Zenteno, Lady Diana Ladino, Lizbeth Hernández‐Ronquillo

Bibliographic record

VenueJournal of Clinical Neurophysiology · 2019
Typereview
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCannabisMedicineCannabis sativaPsychiatryEpilepsyAdverse effectPlaceboRandomized controlled trialMoodSurgeryAlternative medicineInternal medicineBiology

Abstract

fetched live from OpenAlex

Marijuana is the dried leaves, stems, and flowers of a 1- to 5-m weed originating from Central Asia. The most common varieties are Cannabis sativa and Cannabis indica. It is usually inhaled as smoke but can also be used as a vapor, taken by mouth as a spray, ingested in tea or as butter in baked goods, or in capsule form and used as an oil. Cannabis has been widely used to treat many medical conditions such as multiple sclerosis symptoms, mood disorders, pain, sleep disorders, and seizures among others. Preclinical and clinical studies have been done over the past decade, among them there are few randomized placebo-controlled trials. In the last few years, Cannabis has been proposed as a potential therapy for patients with drug-resistant epilepsy. This review analyzes the best information about the use of cannabis in adult patients, reviewing aspects of efficacy and safety.

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)0.000
metaresearch head score (Gemma)0.023
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.966
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.201
GPT teacher head0.462
Teacher spread0.261 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations2
Published2019
Admission routes1
Has abstractyes

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