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Record W1968500629

Management of Post Menstrual Syndromes: From Traditional Knowledge to Evidence-Based Medicine

2013· article· en· W1968500629 on OpenAlexvenueno aff
Mohamad Fawzi Mahomoodally

Bibliographic record

VenueInternational Journal of Biotechnology for Wellness Industries · 2013
Typearticle
Languageen
FieldMedicine
TopicBiological and pharmacological studies of plants
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTraditional medicineBlack cohoshKavaAlternative medicineMenstruationMedicinal plantsMenopauseInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Plants were and are still widely used for a number of pathologies affecting women health, particularly post menstrual syndromes (PMS). PMS refers to a diverse set of clinical symptoms and nearly omnipresent in the woman of reproductive age and can impinge on women's interpersonal relationships, social behavior, work absenteeism, and work productivity [1]. In addition to conventional FDA approved drugs, a plethora of other selections are imperative to reflect on for women who prefer natural alternative and complementary therapies or for whom conventional remedies are contraindicated [2]. Indeed, prior to the introduction of modern therapy, a panoply of medicinal herbs such as Kacip Fatima, Vitex, Yam, Licorice, Alfalfa, Chamomile, Dong-Quai, Evening Primrose, Ginkgo, Water-Willow and Cohosh have been used predominantly to treat or relief PMS. Traditional Chinese medicine has been prescribing herbs and herbal formulas since time immemorial; for instance Angelica (Dang Gui) has been widely used by Chinese and Japanese women for centuries. It is well-known for regulating menstrual cycles, eliminating the discomfort of premenstrual syndromes, and relieving menstrual cramps. Medicinal plants thus tend to represent a safe alternative to current hormone or drug therapy used to manage PMS symptoms. Many of these herbals formulas were geared towards regulating hormonal cycle and some recently being reported to have estrogen and/or progesterone-like effects [3-5]. Other less popular herbs that have been used successfully to decrease nervous tension include passion-flower, valerian, oatgrass, lemon-balm and skull-cap [6]. One phytotherapeutic combination; dandelion root/leaf- Taraxum officinale, milk or blessed thistle- Cnicus benedictus, Vitex- Vitex agnus-castus, black or blue Cohosh- Cimcifuga racemosa and Caulophylum thalictroides, Dong-Quai - Angelica sinensis and wild-Yam - Dioscorea villosa, is prescribed by phytotherapists and/or traditional healers as a polyherbal tea (1 tsp. of the herbal formula, one part each, in 1 cup of boiling water thrice daily) or in tincture (1/2 tsp. 3 to 4 times daily). However, Vitex also known as chaste tree berry, has attracted much consideration and comprehensively tested in randomized controlled trials; [1, 7-8] and reported to exhibit dopaminic agonist, inhibiting prolactin and increasing estrogen secretions and its flavonoids ligands to benzodiazepine receptors- thereby depicting antidepressant and anxiolytic properties [1]. Chaste berry fruit extract has also been shown to correct prolactin levels in latent hyperprolactinaemia via dopamine receptors. Vitex formulation (Agnolyt®) has been reported to be superior to pyridoxine in reducing premenstrual tension, whereas Femicur® (dried extract of Vitex) decreased and/or ceased mastalgia, associated to PMS; both tested in randomized controlled clinical trials [7, 8]. Nonetheless, many of the above-mentioned mono or poly-phytotherapeutic combinations are not recommended during pregnancy and possible hormonal effects through breast milk (some via prolactin inhibition) [3]. Additionally, extensive and scientific-based clinical research into the use of herbal therapies for premenstrual disorders, specifically in adolescents is unfortunately sparse. To this effect, phytotherapies for PMS can be given due consideration provided they are prescribed by trained professionals following rigorous high-quality clinical testing and with optimal dosing standards but avoided concurrently with conventional medications. Additionally, it is believed that it is of uttermost importance for medical practitioners to be aware of such herbal therapies and any innate potential drug-herb interactions and/or side effects in an endeavor to offer alternatives to women.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.912
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.134
GPT teacher head0.349
Teacher spread0.215 · 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
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
Published2013
Admission routes1
Has abstractyes

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Same venueInternational Journal of Biotechnology for Wellness IndustriesSame topicBiological and pharmacological studies of plantsFrench-language works237,207