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Record W2233409975

Post marketing surveillance of two St. John's wort and four liquorice products in Iran's market

2008· article· en· W2233409975 on OpenAlexaboutno aff
Somayeh Esmaeili, F Naghibi, Mahmoud Mosaddegh

Bibliographic record

VenueResearch in Pharmaceutical Sciences · 2008
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacological Effects of Natural Compounds
Canadian institutionsnot available
Fundersnot available
KeywordsHypericum perforatumHypericinGlycyrrhizaTraditional medicineChemistryMedicinePharmacologyAlternative medicine
DOInot available

Abstract

fetched live from OpenAlex

With the tremendous expansion in the use of herbal medicine worldwide, safety and efficacy as well as quality control of herbal medicine have become important concerns for both health authority and public. In this paper, the analysis of two St. John's wort (Hypericum perforatum) products and four liquorice (Glycyrrhiza glabra) products by spectrophotometric and HPLC methods, is explained. Moreover chromatographic fingerprinting was done by TLC scanner. Hypericin was chosen as the marker of St. John's wort products and 18 β-glycyrrhetinic acid was chosen as the marker for post marketing survey of four liquorice commercial formulations. The content of total hypericins that can be expressed as hypericin exist in the sample was 0.008% (mg/100mg) in product A/1 and 0.01% in product B/2. According to the analyses, the content of 18 β-glycyrrhetinic acid in the samples were between 0.002-0.05% (mg/100mg). It is suggested that manufacturers should commit to proper quality control procedures and ensure that label claims for content and dosage are accurate and realistic.

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)0.030
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0300.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.003
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 head0.392
GPT teacher head0.542
Teacher spread0.150 · 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 designObservational
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
Published2008
Admission routes1
Has abstractyes

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