Toosty Golden Dookkeobi Tooth
Product Images NDC 82662-010

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 Toosty Golden Dookkeobi Tooth (NDC 82662-010). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Headquarter 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

Image Of Carton (Large Carton)

Image Of Carton (Large Carton)
This is a drug facts label containing information on the active ingredients and uses of a product meant to prevent periodontal and gum diseases as well as remove plaque. The label also lists some of the other ingredients included in the product, such as Aloe Barbadensis Leaf Extract, Curcuma Longa (Turmeric) Rhizome Extract, Roya Jely Exiract, Propolis Extract, Honey, Hovenia Dulcis Frut. The product is licensed by DOOKKEOB! om0 U and distributed by sexoauerenco, s. Contact information for a dentist and the manufacturer can be found on the label as well.*
FDA Label Image

Image Of Carton (Small Carton)

Image Of Carton (Small Carton)
This is a drug facts sheet containing information about active and inactive ingredients present in a toothpaste to prevent gum and periodontal diseases. The toothpaste contains 0.76% Sodium Monofluorophosphate and various organic and inorganic substances. The fluoride content of the toothpaste is 1000 pm. It is advised not to swallow and to wash the mouth thoroughly after use. Children under 6 years of age should use pea-sized toothpaste and should be supervised to avoid swallowing. The product is manufactured by Soeun Pharmaceutical Co. Ltd. in South Korea. Contact information and directions for use are also included.*

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