Лекарственные растения app icon

Apps Like Лекарственные растения for iPhone and iPad

Find, prepare, and use herbal remedies

Provides detailed information on common medicinal plants. Includes habitat, preparation methods, and usage for various conditions. Features pharmacological descriptions, harvesting periods, and traditional applications.

by Jourist Verlags GmbH★ 0.00 ratingsMedical$1.99Data updated 2026-09-08

Лекарственные растения screenshots

Ranked alternatives

Showing 21–40 of 1,000 ranked alternatives.

  1. РЛС® Справочник лекарств app icon

    РЛС® Справочник лекарств

    RLS-Patent, OOO

    Access medication info and instructions anytime

    Medicine reference provides drug instructions, including usage guidelines and descriptions from GRLS. Users can access information on medications, dietary supplements, and medical devices approved in Russia.

    ★ 5.01 ratingsMedicalFreeData updated 2026-09-17
  1. Apteka.ru – онлайн-аптека app icon

    Apteka.ru – онлайн-аптека

    Scientific production company Katren CJSC

    Search medicines and health products

    Search for health and beauty products from a database of over 35,000 items. Place orders for delivery to any of 30,000 pharmacies in 95 Russian cities. Use voice search to find medications or active ingredients.

    ★ 4.91,226 ratingsMedicalFreeData updated 2026-10-12
  2. АптекаМос: аптечный агрегатор app icon

    АптекаМос: аптечный агрегатор

    ASoft XXI, OOO

    Order medications and track delivery

    Find and order medications from nearby pharmacies with delivery. Browse pharmaceuticals, dietary supplements, cosmetics, homeopathy, therapeutic nutrition, and optics. Compare prices across pharmacies in Moscow, Moscow Oblast, St.

    ★ 4.978 ratingsMedicalFreeData updated 2026-09-13
  3. PharmUz app icon

    PharmUz

    O ZBEKISTON RESPUBLIKASI SOG LIQNI SAQLASH VAZIRLIGI HUZURIDAGI FARMATSEVTIKA TARMOG INI RIVOJLANTIR

    ★ 0.00 ratingsMedicalFreeData updated 2026-09-06

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.