Argentum Nitricum Pellet
Product Images NDC 15631-0045

Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Argentum Nitricum (NDC 15631-0045). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Rxhomeo Private Limited D.b.a. Rxhomeo, 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

Label Pellets Fda 15631 0045

This is a description of a homeopathic medication named ARGENTUM NITRICUM 6X, which contains active and inactive ingredients. It is used for temporary relief of upset stomach with acidity. The recommended dosage for adults and children is also mentioned, as well as instructions for usage and storage. It is not intended for severe conditions, and in case of worsening symptoms, medical advice should be sought. The medication should be kept away from children and stored in a cool and dark place. The product contains 100 pellets and other identification details are also provided.*

FDA Label Image

Mini Labels Pellets Fda15631 0045

Argentum Nitricum 6X is a homeopathic medicine designed to provide temporary relief for upset stomach with acidity. The active ingredient is not specified, but the inactive ingredient is Sucrose, and the medication is presented in pellet form. The recommended dosage is four to six pellets taken by mouth five times a day for adults, or as instructed by a physician. Children over the age of two can take half the adult dose. The product is not coated and is available in select pack sizes. The label information shows the manufacturer's code number, production date, and expiration date.*

FDA Label Image

Rxhomeo Secondary Packing Blister Pack

FDA Label Image

Rxhomeo Secondary Packing Carton Pack

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