Intensive Skin Repair
Product Images NDC 52810-204

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 Intensive Skin Repair (NDC 52810-204). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Puremedy, 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

Ce2b3bb6 73bc C8d6 E053 2a95a90a51ff

Ce2b3bb6 73bc C8d6 E053 2a95a90a51ff
This is a warning label and directions for use for a topical night balm with hemp oil called Puremedy. It indicates that the product should only be used externally, and not if the user has an allergy or sensitivity to the components or has had a prior negative reaction. Consult a doctor if symptoms persist and avoid contact with eyes. It recommends testing for allergy and applying to clean skin at night. This product is based on homeopathic principles and is not evaluated by the Food and Drug Administration.*
FDA Label Image

Intensive Skin Repair (Intensive Skin Repair)

Intensive Skin Repair (Intensive Skin Repair)
This is a description of a natural product called "Do Focs o T". According to the text, it is an ancient remedy for modern people that has properties to soothe and relieve symptoms associated with damaged or aging skin, using organic ingredients such as argan and sea buckthorn oils. It is a homeopathic salve that is free of parabens, preservatives, and artificial ingredients. The directions recommend applying a small amount to affected skin in the morning and/or night. It is not for use if allergic to any of the ingredients, and no animal testing was conducted. Contact information is available for further inquiries.*

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