Drug-Induced Dyskinesia Treated with Korean Medicine: A Case Report
Bibliographic record
Abstract
Drug-induced dyskinesia is an involuntary muscle movement caused by various dopamine receptor-blocking drug exposure, such as antipsychotics, antidepressants, and antiemetics.Causative drug removal is the main treatment for drug-induced dyskinesia whenever possible because its pathophysiology lacks a universally accepted mechanism; however, the symptoms can persist for years or decades in many patients even after causative drug removal.Herein, we present a case of drug-induced dyskinesia in a 61-year-old female patient who consumed medication for approximately 10 years for her depression, anxiety, and insomnia.Cervical and facial dyskinesia was suggested to be related to perphenazine and levosulpiride administration.The patient received acupuncture, pharmacopuncture, herbal medicine, and chuna treatment for 81 days during hospitalization.The symptoms were evaluated using the Abnormal Involuntary Movement Scale, Toronto Western Spasmodic Torticollis Rating Scale, Tsui's score, and Numeric Rating Scale, which revealed remarkable improvement, suggesting the effectiveness of combined Korean medicine for drug-induced dyskinesia.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.007 | 0.004 |
| 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".