Seolheun Ginseng Nature Cream
Product Images NDC 70889-300

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Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Seolheun Ginseng Nature Cream (NDC 70889-300). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Oneskin Cosmetics Co., 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

72dba950 6600 721f E053 2991aa0a393a

72dba950 6600 721f E053 2991aa0a393a
SEOLHEUN GINSENG NATURE CREAM is a skincare product with active ingredients such as niacinamide and adenosine to protect and restore the skin while enhancing its radiance and brightness. It is recommended to apply a small amount after basic skincare routine for even absorption. However, it is not to be used on areas with wounds or dermatitis. Inactive ingredients include water, oils, and extracts such as Panax Ginseng Sprout Extract and Aloe Barbadensis Leaf Extract to nourish and soothe the skin.*
FDA Label Image

Seolheun Ginseng Nature Cream (Seolheun Ginseng Nature Cream)

Seolheun Ginseng Nature Cream (Seolheun Ginseng Nature Cream)
SEOLHEUN GINSENG NATURE CREAM is a skin protectant cream that contains active ingredients like Niacinamide and Adenosine to protect, restore, and soothe the skin. It has beneficial effects like softening, smoothing, enhancing radiance and brightening the skin. It is recommended to apply a small amount on the skin after basic skincare products for even absorption. The cream contains various inactive ingredients like water, sunflower seed oil, ginseng sprout extract, panthenol, and aloe barbadensis leaf extract that work to nourish and hydrate the skin. It is only for external use and should not be used on areas with wounds, eczema or dermatitis.*

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