Adamas Pellet
Product Images NDC 63545-751

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This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Adamas (NDC 63545-751). 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.

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FDA Label Image

9aa1076e 65a1 7fac E053 2a95a90ae901

9aa1076e 65a1 7fac E053 2a95a90ae901
The text is a description of a homeopathic medicine called "ADAMAS 500C" produced by Hahnemann Labs Inc. The product comes in pellets, and the minimum net weight of the container is 30g. The medicine is intended for traditional homeopathic uses, such as for the treatment of headaches. The active ingredients are not specified but are listed on the packaging. The medicine should not be used by pregnant or breastfeeding women without consulting a health professional, and if the symptoms persist beyond three days. The product is made with sucrose and should be taken orally once or as directed by a health professional. The contact information for the manufacturer is provided for any questions or concerns.*
FDA Label Image

Adamas 500c 30g (Adamas 500c 30g)

Adamas 500c 30g (Adamas 500c 30g)
Hahnemann Labs Inc is the manufacturer of the homeopathic medicine ADAMAS, intended for traditional homeopathic uses like headache. It contains active ingredients and inactive sucrose. The product comes in pellets form where the minimum net weight is 30 g. The drug facts and directions for use are provided on the pack. Pregnant or breastfeeding women are cautioned to consult a health professional before use, and if the symptoms persist for more than three days. In case of any questions, customers can reach out to the manufacturer's helpdesk.*

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