Efficacy of Ayurvedic Treatment in Managing Cervical Dystonia: A Case Report
Bibliographic record
Abstract
Cervical dystonia (also known as spasmodic torticollis) is a neurological condition that causes involuntary muscle contractions in the neck, leading to abnormal jerky head movements with spasms. These contractions can cause the head to tilt to one side (laterocollis), rotate (rotational torticollis), or move forward (anterocollis) or backward (retrocollis). The condition can be painful and may interfere with everyday activities. Prakupita Vata (aggravated Vata) causes Vata Vyadhi (diseases of vitiated Vata) and treatments such as Snehana (oleation therapy), Swedana (sudation therapy), and Shodhana (internal detoxification) are advised. This case report presents a 62-year-old male with cervical dystonia/ spasmodic torticollis with complaints of progressive neck pain, involuntary movements predominantly in the right shoulder, shoulder and neck spasms, tremors, and abnormal postures of head. Following an Ayurvedic approach the patient experienced significant improvement within two months, with substantial symptom relief by the fourth month. Shodhana Virechan (internal detoxification) in combination with external Panchakarma procedures such as Nasya Karma, Shirodhara, Greeva Basti, Greeva Pichu with Agni Karma and internal medicines including Rasayana (rejuvenation), were administered. Toronto Western Spasmodic Torticollis Rating Scale (TWSTRS) was assessed for the outcome of the treatment. The patient showed good improvement in pain, stiffness, tremors, and neck retention time. TWSTRS score reduced from 68.5 to 15 and is presented here as a case study.
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 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".