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Utility of Robin Murphy’s Homoeopathic Medical Repertory (HMR) in the Management of Osteoarthritis: A Case Series

2025· article· W4416125522 on OpenAlexaboutno aff
ABC Sabud

Bibliographic record

VenueInternational Journal of Homoeopathic Sciences · 2025
Typearticle
Language
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOsteoarthritisMedical prescriptionAlternative medicineHomeopathyDegenerative arthritisArthritisSports medicineChronic disease

Abstract

fetched live from OpenAlex

Introduction: Osteoarthritis (OA) is a chronic degenerative joint disorder prevalent among the elderly, leading to pain, stiffness, and reduced mobility. Conventional management primarily offers symptomatic relief, highlighting the need for individualized and holistic therapeutic approaches. Case Summary: This case series presents three female patients aged 63, 65, and 66 years suffering from bilateral knee OA for 3–5 years. Each case was analyzed using the Homoeopathic Medical Repertory (HMR) to determine individualized prescriptions based on characteristic mental and physical symptoms. Pulsatilla Nigricans, Bryonia Alba and Calcarea Carbonicum were prescribed according to totality and susceptibility, along with auxiliary measures like mild exercises and postural care. Result and Conclusion: Patient progress was assessed objectively using the Western Ontario and McMaster Universities Arthritis Index (WOMAC). The overall improvement ranged between 59% and 63%, indicating notable relief in pain, stiffness, and physical function. These outcomes highlight the therapeutic potential of individualized homoeopathic management guided by HMR and support its integration into clinical practice for chronic degenerative conditions like OA.

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)0.011
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.480
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0020.001
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 head0.035
GPT teacher head0.369
Teacher spread0.334 · 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
Published2025
Admission routes1
Has abstractyes

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