Traditional Chinese Medicine as a Basis for Treating Psychiatric Disorders: A Review of Theory with Illustrative Cases
Bibliographic record
Abstract
Background: Integrative medicine is becoming increasingly accepted in the global scheme of health care. Traditional Chinese Medicine (TCM) is often included among integrative medicine modalities. Objective: This article provides a background for integration of acupuncture and other TCM-derived approaches to managing psychiatric conditions. Methods: Classical theories of TCM that pertain to psychiatric conditions are reviewed, focusing on concepts of energetic imbalance, the implications of mind–body–spirit connections, and treatment strategies that involve TCM modalities. An example of correlation between TCM patterns of disharmony and the Western diagnosis of generalized anxiety disorder (GAD) is given, along with an illustrative case in which counseling, medications, and acupuncture were combined in treatment. TCM principles are incorporated in certain energy psychology modalities, such as Emotional Freedom Technique (EFT). A case is presented demonstrating the integration of energy psychology with acupuncture, Qigong and hypnosis as an avenue for releasing pathogenic emotions. In classical TCM theory, assessing and treating spiritual disharmonies is fundamental for dealing with emotional disorders. Practical application in a clinical case is described. Conclusions: TCM offers a cogent theoretical basis for assessing and clinically managing patients presenting with mental health issues. TCM principles integrate well with other systems, including Western medicine.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".