Emj Premium Antiperspirant Alpine Ascent 2.6 Oz Stick
Product Images NDC 60717-658

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 Emj Premium Antiperspirant Alpine Ascent 2.6 Oz (NDC 60717-658). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Rna Pharma 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

Otc Active Ingredient (Emj Apdeo Alpineascent Back)

Otc Active Ingredient (Emj Apdeo Alpineascent Back)
This text provides information about a skincare product that contains prebiotics to protect the skin and oat powder to neutralize odor. It lists some of the naturally derived ingredients used in the product and gives a warning not to use it on broken skin. The active ingredient, aluminum zirconium, is mentioned, along with instructions for use and a recommendation to consult a doctor before use if you have kidney disease. The text also mentions the ingredients used in the product, such as Stearyl Alcohol, C15-15 Alkane, and Fragrance. Additionally, it provides contact information for any questions or concerns and states that the product has been dermatologist tested.*
FDA Label Image

Package Label Principal Display Panel (Emj Apdeo Alpineascent Front)

Package Label Principal Display Panel (Emj Apdeo Alpineascent Front)
This text describes a deodorant product designed to provide 48-hour defense against sweat and odor. It contains aluminum zirconium trichlorohydrex gly 20% and is specifically formulated to help protect the skin and keep the underarms dry. The product is called "Alpine Ascent" and has a fresh snowfall and juniper scent. The net weight of the product is 26 grams.*

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