Agnus Castus Pellet
Product Images NDC 63545-777

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Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Agnus Castus (NDC 63545-777). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Hahnemann Laboratories, Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

9ab7042d 603e 55cd E053 2a95a90a7833

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Hahnemann Labs Inc. produces a traditional homeopathic medicine called "Agnus Castus 100C" in pellet form. This product is intended to be taken orally for headaches and contains only one active ingredient. However, the manufacturer warns that pregnant or breastfeeding individuals should consult a health professional before use and those who experience persistent symptoms must also seek medical advice. The product also contains sucrose as an inactive ingredient. If you have any questions about this product, you can contact Hahnemann Labs Inc. via their toll-free number. The output contains some unreadable/non-English characters, which are not readable.*
FDA Label Image

Agnus Castus 100c 5g (Agnus Castus 100c 5g)

Agnus Castus 100c 5g (Agnus Castus 100c 5g)
Hahnemann Labs Inc produces a homeopathic medicine called Agnus Castus 100C, which is intended for the traditional homeopathic uses such as for a headache. It is advised to consult a health professional if symptoms persist beyond 3 days, or if pregnant or breastfeeding before use. The recommended dosage is 5 pellets orally once or as directed by a health professional. The medicine contains sucrose and the net weight of the pellets is 5g. If you have any questions, you can call toll-free at 888-427-6422. The last line is not available since it contains non-English characters.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.