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Record W4405366454 · doi:10.7759/cureus.75654

The Safety of Multiple-Dose Liquid Blend Containing Kava and Kratom in Healthy Adults

2024· article· en· W4405366454 on OpenAlexaff
Jaustin Dufour, Xinjie Lin, Jun Wang, Joshua Baisley, Ambreen Atif, Erin C. Berthold, Ramsey Atallah

Bibliographic record

VenueCureus · 2024
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicAlkaloids: synthesis and pharmacology
Canadian institutionsNutrasource
Fundersnot available
KeywordsMedicineVital signsPlaceboAdverse effectDoseHeadachesNauseaBlood pressureAnesthesiaClinical trialInternal medicineSurgery

Abstract

fetched live from OpenAlex

This study investigates the safety of three different daily dosages of a liquid blend containing kava and kratom (Feel Free® Classic Tonic {FFCT}) in healthy adults over six consecutive days of supplementation. Both kava and kratom have been used traditionally for hundreds of years, but there is limited data on the combined safety of these ingredients. In this randomized, double-blind, placebo-controlled trial, the participants were assigned to receive one of three daily dosages of FFCT or placebo. Safety assessments included the monitoring of vital signs, clinical chemistry, hematology, and withdrawal symptoms using the Clinical Opiate Withdrawal Scale (COWS) and the Subjective Opiate Withdrawal Scale (SOWS). The results indicate that FFCT was safe, with mild to moderate adverse events (AEs) such as nausea, headaches, and fatigue, particularly in the high-dosage (HD) group. No significant changes in liver or kidney function were noted, and all vital signs remained within normal physiological ranges although some statistically significant changes in blood pressure (BP) and respiratory rate (RR) were observed. There were no clinically significant observations in COWS or SOWS scores despite a small but statistically significant increase in COWS total score in the high-dose group on day 7. Overall, FFCT appears safe for short-term use in healthy adults, with no significant impact on vital signs, laboratory values, or withdrawal symptoms.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.915
Threshold uncertainty score0.693

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.075
GPT teacher head0.421
Teacher spread0.347 · 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 designNot applicable
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

Citations2
Published2024
Admission routes1
Has abstractyes

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