Arnica Silver
Product Images NDC 72525-005

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Arnica Silver (NDC 72525-005). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Recovery Care Products Llc, 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

01b Lbl_arnica Silver Gel_front (01b Lbl Arnica Silver Gel Front)

01b Lbl_arnica Silver Gel_front (01b Lbl Arnica Silver Gel Front)
This is a description of a homeopathic medicine called Recovery Care Products. The specific product is Arnica Silver Gel+ which is designed for rapid wound repair. The gel is alcohol-free, fragrance-free, and paraben-free. The item is 3.502 ounces or 99 grams and contains 40 PPM of silver. NDC#: 72525-XXX-XX is also provided.*
FDA Label Image

01b Uc_arnica Silver Gel_back (01b Uc Arnica Silver Gel Back)

01b Uc_arnica Silver Gel_back (01b Uc Arnica Silver Gel Back)
Ideal for plastic surgery, cosmetic procedures, and everyday skincare, this product contains active ingredients such as Arnica Montana 6x and Calendula Officinalis 6x to promote rapid wound repair and maintain healthy tissue during physical stress. It is safe for a wide variety of dermal applications and can be used for the treatment of multiple conditions such as abrasions, lacerations, soft tissue injuries, partial and full-thickness wounds, diabetic foot and leg ulcers, grafted and donor sites, and 1st and 2nd-degree burns. The product also provides Redness & Itch Relief. It is a great anti-aging product that improves skin elasticity and resiliency. However, it should be used externally only and kept out of the reach of children.*

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