Aluminium Bromatum
Product Images NDC 63545-840

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Aluminium Bromatum (NDC 63545-840). 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

9c5c0604 Bf5f B266 E053 2995a90a07bf

This is a description of a homeopathic medicine called "Aluminium Bromatum LM1" which is produced by Hahnemann Labs Inc, located in San Rafael, CA. The medicine contains active ingredients and is intended for use in traditional homeopathy for constipation. The package contains 30g of pellets to be taken once orally or as directed by a health professional. The medicine contains sucrose as an inactive ingredient. The package also includes warnings about consulting a health professional if symptoms persist for more than three days and if pregnant or breastfeeding. The contact number for any queries is 888-427-6422.*

FDA Label Image

Aluminium Bromatum Lm1 30g (Aluminium Bromatum Lm1 30g)

This text is a product description for a homeopathic medicine named Aluminium Bromatum LM1 manufactured by Hahnemann Labs Inc. The medicine comes in a pellet form with a minimum net weight of 30g. It is used for constipation purposes and the directions are to take 5 pellets orally once or as directed by a health professional. It contains active ingredients that are not mentioned in the text. Inactive ingredients include sucrose. The text also contains warnings for pregnant or breastfeeding women, and if symptoms persist beyond 3 days, a health professional should be consulted. For any queries related to the product, a toll-free number is provided.*

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