Emuaidmax Concentrate Liquid
Product Images NDC 55926-0027

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Product Visual Gallery

This gallery contains 1 technical images submitted to the FDA as part of the official labeling for Emuaidmax Concentrate (NDC 55926-0027). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Speer Laboratories, 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

20230301_55926-0027 (20230301 55926 0027)

20230301_55926-0027 (20230301 55926 0027)
"EmuaidMAX is a modern homeopathic medicine in the form of a first aid serum. It provides rapid relief for various skin, nail, and scalp conditions such as pain, itch, infection, redness, and inflammation. The liquid formula allows for deeper diffusion in hard-to-reach places. The product contains Argentum Metallicum (Metalic Silver) as the active ingredient, which acts as a topical antiseptic/analgesic, anti-inflammatory, anti-bacterial, and anti-fungal agent. It is indicated for the relief of minor wounds, burns, bruises, ulcerations, sunburns, razor burns, scrapes, rashes, blisters, bug bites, and skin eruptions from acne, eczema, or minor infection. The product should be used externally only and kept out of reach of children. If the skin condition persists or if pregnant or breastfeeding, consulting a physician is recommended. The directions for use include cleaning the affected area before application, shaking well, and applying a thin layer to the affected area 3-4 times daily or as needed. For scalp conditions, the serum can be applied directly to the scalp and left overnight. The product is made with various inactive ingredients such as Emu Oil, Tea Tree Leaf Oil, and Ceramide NP, among others. It is distributed by SPEER Laboratories and made in the USA."*

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