Erbium Sulphuricum
Product Images NDC 63545-699

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Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Erbium Sulphuricum (NDC 63545-699). 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

70bc4920 5e28 5cfa E053 2991aa0ae173

70bc4920 5e28 5cfa E053 2991aa0ae173
The text provides important information about a homeopathic medicine containing erbium sulphuricum with a net weight of 5g of pellets. This medicine is intended to be used in traditional for diarrhea. It comes with warnings for pregnant or breastfeeding women to consult a health professional before use and if the symptoms persist after 3 days. Those who use it should dissolve 5 pellets under their tongue or as directed by a health professional. The inactive ingredient in the medicine is sucrose, and if there are any questions about the product, there is a contact number to reach out to. The medicine was manufactured by Hahnemann Labs, Inc. located at 1940 Fourth St. San Rafael, CA 94901.*
FDA Label Image

Img (Erbium S)

Img (Erbium S)
Hahnemann Labs Inc. produces homeopathic medicine in San Rafael, California. The mentioned medicine, Erbium Sulphuricum, is intended for use in diarrhea cases. The medicine contains active ingredients, and users are advised to consult a health professional if symptoms persist beyond three days. The inactive ingredient, sucrose, is also listed. The weight of the product is 5g of pellets, with the dose of 5 pellets to be dissolved under the tongue, as directed by a health professional. For further inquiries, the toll-free number, 888-427-6422 is given.*

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