Pharmacognostical And Phyto Analytical Studies On Musali Khadiradi Choornam – An Ayurvedic Formulation For The Treatment Of Uterine Disorders
Bibliographic record
Abstract
Musali khadiradi choornam (MKC) is prescribed by Ayurvedic physicians for the treatment of menorrhagia, leucorrhea, and polycystic ovaries syndrome (PCOS). The choornam contains six herbal drugs, they are Musali (Curculigo orchioides), Khadira (Acacia catechu), Amalaki (Emblica officinalis), Jambu (Syzygium cumini), Shatavari (Asparagus racemosus), and Trikanta (Tribulus terrestris). Various studies conducted by the National Institute of Health, Government of India, reveal that the prevalence of infertility among women with PCOS ranges from 70%-80%, and 60% of women aged 25-34 are affected by PCOS. The present study aims to evaluate the under-explored Ayurvedic formulation, “Musali khadiradi choornam” on its pharmacognostic and Phyto-analytical aspects as a step towards developing Pharmacopoeial standards. The morphological and powder microscopical observation helps authenticate the raw drugs and their formulation from adulterant in the market. The phytochemical screening including GC-MS studies brings out the drug on par with modern drug in the global markets. This study might be helpful for authentication of the formulation and making it available with global standards.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".