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Nature can work: The medicinal plant Galphimia glauca works for anxiety disorders

Nature can work: The medicinal plant Galphimia glauca works for anxiety disorders


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Medicinal plant relieved fear
Mexican researchers succeeded in proving the effect of the plant extract of Galphimia glauca on anxiety disorders. The surprising thing: After a week, the patients reported an improvement.

With their study, the researchers wanted to check the empirical values ​​from Mexican naturopathy. There, Galphimia is traditionally used as a tranquilizer for mental disorders. They also wanted to review the results of a previous study on the safety, efficacy, and tolerability of galphimia.

103 outpatient patients with generalized anxiety disorder were randomly given a daily dose of up to 0.700 mg of the standardized extract galphimin-B in capsule form or 0.5 mg lorazepam over a period of 12 weeks. After the 12 weeks of therapy, there were three weeks of “withdrawal”.

According to the Hamilton anxiety scale used, the galphimia extract was significantly superior over the entire study period. In addition, fewer side effects were observed in the galphimia group.

Interestingly, it was found that a low dose of galphimine B extract had positive effects from the first week on in patients with generalized anxiety disorder. (Source: Herrera-Arellano A, Jiménez-Ferrer JE, Zamilpa A, García-Alonso G, Herrera-Alvarez S, Tortoriello J. Therapeutic effectiveness of Galphimia glauca vs. Lorazepam in generalized anxiety disorder. A controlled 15-week clinical trial. Planta Med 2012; 78: 1529-1535)

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Video: Top 5 Best Supplements For Anxiety. Mental Health. Panic Attack. Natural Remedies (July 2022).


Comments:

  1. Mindy

    Great, this is a valuable opinion

  2. Reade

    If I were you, I would not do this.

  3. Diara

    remarkably, very funny idea

  4. Dular

    It's a pity that the blog was abandoned ...

  5. Northrop

    You read topic?

  6. Cutler

    Bravo, you were visited with an excellent idea

  7. Rutherford

    You have incorrect data



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