Aluminium Sulphuricum
Product Images NDC 63545-904

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Aluminium Sulphuricum (NDC 63545-904). 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

Aluminium Sulphuricum Lm1 30g (Aluminium Sulphuricum Lm1 30g)

This is a description of a Homeopathic Medicine named Aluminium Sulphuricum LM1. It is manufactured by Hahnemann Labs Inc, located in San Rafael, California. The product contains 30g of pellets intended for traditional homeopathic uses such as constipation. The active ingredient is not stated but listed above on the label. The medicine is not recommended for pregnant or nursing women without consulting a health professional. The dosage is 5 pellets orally once or as directed by a health professional. The product contains sucrose as an inactive ingredient. For queries related to the product, a toll-free number is provided.*

FDA Label Image

A485ca16 6bfa E7df E053 2a95a90a343e

This is a description of a homeopathic medicine product. The product is Alumunium Sulphuricum LM1 and it comes in a 30g net weight of pellets. The active ingredient for the medicine is not provided, but it is intended for traditional homeopathic uses like for constipation. The product comes with directions to be taken orally, and a warning that pregnant or breastfeeding women should ask a health professional before use. Additionally, the product should be kept out of reach of children and should not be used if the safety seal is broken. Sucrose is listed as an inactive ingredient, and a phone number is provided for inquiries.*

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