Clinical depression: an evidence-based integrative complementary medicine treatment model.

生物心理社会模型 心理干预 心情 社会心理的 医学 萧条(经济学) 中西医结合 心理治疗师 临床心理学 循证医学 精神科 替代医学 心理学 病理 经济 宏观经济学
作者
Jerome Sarris
出处
期刊:PubMed [National Institutes of Health]
卷期号:17 (4): 26-37 被引量:20
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摘要

Clinical depression has a major impact on individuals and society, often presenting the clinician with a significant challenge. Recent evidence suggests that synthetic antidepressants- although effective in the treatment of severe depressed mood-may have only a weak effect against mild-moderate forms of depression. In such cases, nonpharmaceutical options may be indicated. Furthermore, research findings suggest that select natural products are effective adjuvants when combined with synthetic antidepressants. Research concerning the treatment of depression emphasizes individual monotherapies, which is often incongruent with clinical reality. In practice, clinicians often use a variety of interventions; however, this approach may not be systematic, and many interventions used may not be based on strong evidence.This article proposes an evidence-based prescriptive clinical model based on the biopsychosocial model to treat unipolar depression. The "Antidepressant-Lifestyle- Psychological-Social (ALPS) depression treatment model" integrates nonpharmacological interventions (such as complementary medicines, lifestyle advice, and psychosocial techniques) for use by clinicians.Initially a review of nonpharmacological mood-elevating interventions was undertaken. Evidentiary support was revealed for use of psychological techniques such as cognitive and behavioral medicine and interpersonal therapy, St John's wort, S-adenosyl methionine, and aerobic and anaerobic exercise. There were inconsistent research findings for acupuncture, omega-3 fish oils, and L-tryptophan for depressed mood. From these evidencebased interventions an integrative model was formed. Clinical recommendations in addition to a practical stepped-care decision tree are outlined.The ALPS model has the potential to improve treatment outcomes and reduce relapse rates in clinical depression and warrants research using rigorous and appropriate methodology.

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