MétaCan
Menu
Back to cohort
Record W4286504954 · doi:10.1089/can.2022.0062

A Double-Blind, Randomized, Placebo-Controlled Test of the Effects of Cannabidiol on Experiences of Test Anxiety Among College Students

2022· article· en· W4286504954 on OpenAlexaff
Taylor B. Stanley, Morgan L. Ferretti, Marcel O. Bonn‐Miller, Jessica G. Irons

Bibliographic record

VenueCannabis and Cannabinoid Research · 2022
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsSmiths Detection (Canada)
Fundersnot available
KeywordsAnxietyPlaceboAnxiolyticCannabidiolClinical psychologyRandomized controlled trialPsychologyMedicineTest (biology)Oral administrationTest anxietyPsychiatryPharmacologyInternal medicineCannabisAlternative medicine

Abstract

fetched live from OpenAlex

Introduction: Oral administration of cannabidiol (CBD) has shown to yield a variety of therapeutic benefits among humans, particularly regarding symptoms of anxiety. This study tested single oral administration doses of CBD (150, 300, or 600 mg), compared to placebo, for reducing test anxiety (TA) in a researcher-derived experimental analog. Method: Our sample included 32 healthy college students who self-reported moderate-to-severe levels of TA. Participants attended an experimental session, and received a dose of CBD or placebo, in a double-blind procedure. After administration of CBD, participants completed a statistics examination and measures of TA and general anxiety during examination administration. Results: Results indicated no effect of CBD dose on self-reported TA or general anxiety; however, results indicated efficacy of our experimental manipulation for inducing TA in vivo . Discussion: This is the first study to demonstrate that CBD does not reduce experiences of TA, and future work may examine the underlying mechanisms and affective states related to anxiety for which CBD may offer anxiolytic benefits, and for whom.

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)0.007
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.246
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.018
GPT teacher head0.328
Teacher spread0.310 · 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 designRandomized trial
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

Citations21
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueCannabis and Cannabinoid ResearchSame topicCannabis and Cannabinoid ResearchFrench-language works237,207