White Glo Coffee And Tea Stain Remover Fluoride Anticavity Kit
Product Images NDC 73656-030

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Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for White Glo Coffee And Tea Stain Remover Fluoride Anticavity (NDC 73656-030). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by White Glo Usa 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

Inner Package (Inner Package)

Inner Package (Inner Package)
This text provides information about White Glo Coffee and Tea Drinkers' Enamel Safe Whitening toothpaste. It is designed to remove stains caused by coffee and tea consumption and contains fluoride for cavity protection. The formula includes a micro-wax protective shield to repel new stains and is gentle on tooth enamel. Directions for use, active and inactive ingredients, as well as warnings, are also included. The product is developed and formulated by Barros Laboratories Pty Ltd in Australia and manufactured in China under their supervision. For more information, visit www.whiteglo.com.*
FDA Label Image

Outer Package (Outer Package)

Outer Package (Outer Package)
This is a detailed description of a Coffee and Tea Stain Remover toothpaste by White Glo. The toothpaste contains Sodium Fluorophosphate and targets discoloration and yellowing of tooth enamel caused by coffee and tea consumption. It has a Micro - Wax Protective Shield Formula that protects against new stains, leaving teeth whiter and glossier. The toothpaste also contains fluoride to help protect teeth against decay. Developed by Barros Laboratories in Australia, this product is part of White Glo's range of premium oral care products. For customer inquiries, contact [email protected].*

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