MétaCan
Menu
Back to cohort
Record W3154389325 · doi:10.1097/fbp.0000000000000636

Effects of cannabidiol and Δ9-tetrahydrocannabinol in the elevated plus maze in mice

2021· article· en· W3154389325 on OpenAlexaff

Bibliographic record

VenueBehavioural Pharmacology · 2021
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsOntario Brain InstituteUniversity of Toronto
Fundersnot available
KeywordsCannabidiolDiazepamElevated plus mazeOpen fieldΔ9-tetrahydrocannabinolTetrahydrocannabinol

Abstract

fetched live from OpenAlex

The present study tested the effects of cannabidiol (CBD) alone, Δ-9-tetrahydrocannabinol (THC) alone, and CBD and THC in combination (15:1 ratio) in the elevated plus maze (EPM), a test useful for the study of anxiety. In dose-response studies, adult, male CD1 mice were injected intraperitoneally with (1) CBD alone (0-96 mg/kg), (2) THC alone (0-6.4 mg/kg) or (3) CBD+THC in a 15:1 combination (0.0 + 0.0 mg/kg to 96.0 + 6.4 mg/kg). Diazepam (2.5 mg/kg) was also tested as a positive control. It was found that diazepam significantly increased open arm time in the EPM. CBD alone had no significant effect at any dose or injection-test interval. THC alone, however, caused a significant increase in open arm time at 3.2 and 6.4 mg/kg - doses which did not affect locomotion as measured by closed-arm entries. The effect of the combination of CBD and THC was not significantly different than the effect of THC alone. CBD alone did not have anxiolytic-like effects. THC had anxiolytic-like effects at nontoxic doses. No interaction between THC and CBD was seen when the two were combined.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.020
GPT teacher head0.326
Teacher spread0.305 · 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 source (direct Gemma or distilled Codex), 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

Citations12
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueBehavioural PharmacologySame topicCannabis and Cannabinoid ResearchFrench-language works237,207