Product Images Argentum Nitricum

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Argentum Nitricum NDC 15631-0045 by Rxhomeo Private Limited D.b.a. Rxhomeo, Inc, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

Label Pellets FDA 15631 0045

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.*

Mini Labels Pellets FDA15631 0045

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.*

Rxhomeo Secondary Packing Blister Pack

Rxhomeo   Secondary Packing   Blister Pack

Rxhomeo Secondary Packing Carton Pack

Rxhomeo   Secondary Packing   Carton Pack

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.