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Nux moschata

Sources : Kiberis
EN: Allen, Boericke, Boger, Clarke, Hering, Hutchinson, Kent, Lippe, Lippe (keynotes), Nash, Phatak
RU: Additions, Аллен, Берике, Богер, Бханья, Вермюлен, Виджейкар, Витулкас2, Гамильтон, Геринг, Кент, Кларк, Крылов, Кулкарни, Липпе, Моррисон, Никитин, Нэш, Тайлер, Фатак, Фундылер, Хатчисон, Шанкаран, Шаррет
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Other names and synonyms

nux-m.

Performance statistics based

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  • 1
    Respiratory system: E 67%, I 20%, 9 cases. 941 meds
    • 8
      Psyche: E 29%, I 4%, 22 cases. 1221 meds
      • 4
        Head: E 32%, I 0%, 16 cases. 1171 meds
        • The muscular system: E 82%, I 0%, 4 cases. 199 meds
        • 2
          Cardiovascular system: E 42%, I -1%, 12 cases. 1052 meds
          • Genitourinary system: E 63%, I -5%, 10 cases. 573 meds
          • 2
            Digestive system: E 41%, I -8%, 21 case. 1206 meds
            • 2
              Limbs: E 48%, I -9%, 15 cases. 881 meds
              • Skin: E 43%, I -11%, 14 cases. 1208 meds
              • 1
                Nervous system: E 50%, I -18%, 14 cases. 481 meds
                • 1
                  Bone system: E 25%, I -25%, 8 cases. 242 meds
                  • Back: E 26%, I -26%, 5 cases. 825 meds
                  • 4
                    Diseases: E 30%, I -31%, 18 cases. 1775 meds

                    Last updated date: 11.11.2025

                    Performance statistics based «Nux moschata» in percentages for various lesions, grouped by meaning in the form of a repertory. Together with individual modalities that affect the outcome of therapy.
                    Effect - how much the symptom improves in one treatment cycle on average. Example: drug Pain relief for cancer pain-Effectiveness (E) is high, but the effect (I) negative, because the patient will get worse over time.
                    Influence of the symptom on the outcome of the patient's treatment as a whole (i.e., the importance of the symptom). Example: menopause can not be cured (E low). But some means during menopause will be better than others (I high).
                    Cases - the number of investigated treatment results for a given complaint, on the basis of which the effect and effect were calculated. These cases have already passed automatic AI verification of data quality and reliability.
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