Product Images Oral Defense
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Product Label Images
The following 2 images provide visual information about the product associated with Oral Defense NDC 52644-003 by Oral Defense, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.
image description - box
Oral Defense toothpaste is recommended by dentists, orthodontists, and hygienists to fight gingivitis, prevent cavities, and reduce tartar formation. The toothpaste contains fluoride and antibacterial compounds to enhance enamel resistance to cavities while controlling bacterial and fungal organisms associated with damage to gingivitis and periodontitis. It is formulated to help maintain mouth tissues by fighting gingivitis and inflammation of oral tissues. Oral Defense represents Revolutionary Pioneer Technology and Scientific Breakthroughs in dental health care. Visit your dentist regularly.*
tube - tube
This is a 4 oz (118g) tube of toothpaste that is formulated by dentists and contains Sodium Fluoride 0.25% to help prevent cavities and fight oral infections. It is ideal for people with dry mouth, arthritis, diabetes, chemo-adiation therapies, gingivitis-bleeding gums, and can be used by adults and children over the age of 2. The toothpaste should be used preferably after each meal or at least twice a day for 1 minute at bedtime. Children under 6 should be supervised when using the toothpaste to minimize swallowing. The packaging is sealed for protection, and if the seal is broken, the toothpaste should not be used. In case of accidental swallowing, seek professional assistance or call a Poison Control Center right away. Oral Defense Rinse is recommended for cleaner teeth, healthy gums, and fresh breath. Oral Defense LLC is the manufacturer, and any questions or comments can be directed to 1-800-355-9621. US Patent No. US 6,681,047 B1.*
* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.
