Schuessler Tissue Salts Ferr Phos First Aid 4 Tablet, Chewable
Product Images NDC 84999-016

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Schuessler Tissue Salts Ferr Phos First Aid 4 (NDC 84999-016). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Martin & Pleasance Pty Ltd, 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

Image Description (Outer 16)

This is a description of Schuessler Tissue Salts, specifically focusing on Ferrum Phosphoricum 6X. It mentions its benefits in treating the first stage of respiratory ailments, inflammation, and mild fever. The product is in oral tablet form and is part of a range of tissue salts developed by Dr. Wilhelm Schussler over 150 years ago. It supports the body's natural mineral balance. Additionally, there is information about the product being lactose-free and available in spray form. The text also suggests scanning to learn more and mentions 150 years of homeopathic medicine history.*

FDA Label Image

Image Description (Inner 16)

This text provides information about a homeopathic medicine with the active ingredient Ferrum Phosphoricum 6X HPUS. It is intended for temporary relief of symptoms associated with first stages of respiratory ailments, inflammation, and mild fever. The product is in the form of oral tablets and contains inactive ingredients such as Calcium hydrogen phosphate, Lactose, and Magnesium stearate. Directions for use, warnings, and contact information for the manufacturer in Australia are also included. It is important to note that claims made on traditional homeopathic practice are not supported by medical evidence and have not been evaluated by the FDA.*

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