Study protocol for a randomized, triple-blind, placebo-controlled trial of modified Ukgan-san in patients with Hwabyung and neurotic symptoms - Scorecard - MDSpire

Protocol for a Randomized, Triple-Blind, Placebo-Controlled Trial Assessing Modified Ukgan-san in Individuals with Hwabyung and Associated Neurotic Symptoms

  • By

  • Hui-Yeong Park

  • Seok-In Yoon

  • Yerim Jeon

  • Jiho Pyun

  • Kieun Lee

  • Jae-Hong Yoo

  • Sun-Yong Chung

  • Jong Woo Kim

  • July 21, 2026

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Clinical Scorecard: Protocol for a Randomized, Triple-Blind, Placebo-Controlled Trial Assessing Modified Ukgan-san in Individuals with Hwabyung and Associated Neurotic Symptoms

At a Glance

CategoryDetail
ConditionHwabyung
Key MechanismsModified Ukgan-san is used for neurotic symptoms and anger-related manifestations.
Target PopulationAdults diagnosed with Hwabyung presenting with neurotic symptoms.
Care SettingSingle-center clinical trial.

Key Highlights

  • Study investigates efficacy and safety of modified Ukgan-san.
  • Participants will be randomly assigned to receive either modified Ukgan-san or placebo.
  • Primary outcome is change in Hwabyung symptom severity.
  • Secondary outcomes include measures of anger, depression, anxiety, and heart rate variability.
  • Trial registered with Clinical Research Information Service (CRIS), Republic of Korea.

Guideline-Based Recommendations

Diagnosis

  • Hwabyung is classified under code U22.2 in the Korean Standard Classification of Diseases.

Management

  • Korean Medicine Clinical Practice Guidelines recommend Ukgan-san for anger-related symptoms.

Monitoring & Follow-up

  • Assessments will be conducted at baseline and at weeks 2, 4, and 8.

Risks

  • No specific risks mentioned; safety will be assessed during the trial.

Patient & Prescribing Data

104 adult participants diagnosed with Hwabyung.

Modified Ukgan-san extract granules administered thrice daily for 4 weeks.

Clinical Best Practices

  • Use validated self-report Hwabyung Scale for symptom severity assessment.
  • Follow intention-to-treat principle for data analysis.

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