Development of a Modified Intimate Wash From Yoniprakshalan Kwatha (YOSHA) With Comparative Antimicrobial and Quality Assessment: Protocol for an Experimental Study
Bibliographic record
Abstract
Background: Vaginal itching is a frequent gynecological issue impacting women of various age groups. Although commonly linked to nonserious conditions, it may also signal infections, sexually transmitted diseases, prolonged use of certain medications, such as oral contraceptives, hormonal fluctuations, or suboptimal hygiene. Standard pharmaceutical treatments, despite being widely used, often produce undesirable effects, such as irritation of the vaginal lining, alterations in vaginal pH, and disruption of healthy microbial flora. These challenges highlight the need for safer, natural alternatives rooted in traditional systems of medicine, such as Ayurveda. Objective: This study aims to prepare yoniprakshalan kwatha (intimate wash decoction) as per the classical reference of Yogratnakar and to develop its modified dosage form, YOSHA. Additionally, this study aims to assess the quality control parameters of both yoniprakshalan kwatha and YOSHA to ensure their safety and efficacy. Furthermore, the antimicrobial effects of both formulations will be investigated, and a comparative analysis will be conducted to evaluate and contrast the antimicrobial activity of YOSHA and yoniprakshalan kwatha. Methods: Medicinal herbs were sourced from the institute's rasashala and authenticated by taxonomists. The traditional decoction and YOSHA will be prepared using Ayurvedic and modern pharmaceutical methods. Quality tests will include physicochemical and microbial analyses. The disc diffusion method will be used to evaluate antimicrobial activity against Candida albicans, Escherichia coli, and Staphylococcus aureus. Standard antibiotics and sterile discs will serve as controls. Tests will be repeated over 3 days. Statistical analysis will be performed using one-way ANOVA in SPSS (version 17), with P<.05 considered significant. Results: This study commenced in July 2025, with data collection scheduled from August 2025 to September 2025. By December 2025, it is expected that laboratory testing and antimicrobial assessments will have been completed, along with the finalization of quality control evaluations. Preliminary findings are anticipated to show that YOSHA will exhibit strong antimicrobial activity, comparable to or exceeding that of the original yoniprakshalan kwatha. Significant inhibition zones are likely to be observed against C albicans and E coli. The modified formulation is projected to meet pharmaceutical standards for consistency, safety, and shelf stability. Data analysis will be completed, and the full results are expected to be published in December 2025. Conclusions: The study will show that YOSHA, a modern herbal product based on the traditional Ayurvedic yoniprakshalan kwatha, has strong in vitro antimicrobial effects against common vaginal pathogens and meets pharmaceutical quality and safety standards. Unlike raw decoctions, it offers a stable, user-friendly formulation that blends traditional knowledge with scientific validation. Strengths include classical preparation methods, solid quality control, and reliable results. Future work should involve clinical trials, broader testing, and user-focused evaluations. Findings will be disseminated through journals, conferences, and practitioner outreach to promote YOSHA as a natural option for women's hygiene.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.005 |
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 source (direct Gemma or distilled Codex), 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".