Dr.noah Toothpaste Tablets
Product Images NDC 82989-030

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Dr.noah Toothpaste Tablets (NDC 82989-030). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Project Noah Inc., 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 Cello Pack (180 Tablets Cello Pack)

Dr.NOAH Toothpaste Tablets are an anti-cavity product that comes with 180 tablets. The main active ingredient is Sodium Fluoride, which helps to protect against cavities, plaque, and gingivitis. There are instructions for use, indications for adults and children, and precautions for children under 6 years of age. Inactive ingredients consist of a combination of flavors (lemon, cool mint, and spearmint), D-Sorbitol, Xylitol, and other compounds. This product is distributed by Project Noah Inc, Seoul, and manufactured by Sungwon Pharmaceutical Co, Goyang, Korea. Contact information is available, including a website and an email for customer service.*

FDA Label Image

Image Of Cello Pack (30 Tablets Cello Pack)

Dr.NOAH Toothpaste Tablets are a dental care product intended to protect teeth from cavities, plaque, and gingivitis. The tablets contain Sodium Fluoride, which is an active ingredient with a concentration of 0.22% (1,000 ppm fluoride ion). The product comes in a package of 30 tablets and offers instructions for use by adults and children over six years old. The inactive ingredients of the tablets include D-Sorbitol, Sodium Coooyl Giutamate, Tetrasodium Pyrophosphate, and others. The tablets are manufactured in South Korea by Sungwon Pharmaceutical Co., Ltd., and distributed by Project Noah Inc.*

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