Product Images Mipaste One

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Mipaste One NDC 61596-437 by Gc America Inc., 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.

Tube - GCA MI Paste ONE Tube 03 09 2017 Ver1

Tube - GCA MI Paste ONE Tube 03 09 2017 Ver1

M| Paste® ONE Cemsprotect is a toothpaste that contains bio-available calcium, sodium fluoride, and potassium nitrate. It claims to be anti-cavity and helps rebuild enamel while reducing sensitivity. It also has RECALDENT™, which is derived from milk protein. However, it is cautioned that it should not be used on people with milk protein or hydroxybenzoates allergy. It is manufactured by GC America Inc. in the USA.*

Tube Box - GCA MI Paste ONE Tube Box 04 04 2017 Ver2 (003)

Tube Box - GCA MI Paste ONE Tube Box 04 04 2017 Ver2 (003)

ONE Clean & Protect is an anti-cavity toothpaste that uses bio-available calcium, phosphate, and fluoride to rebuild enamel and help prevent dental cavities. It also contains potassium nitrate to reduce sensitivity to cold, heat, acids, sweets, or contact. The toothpaste should be used twice a day and should not be used on patients with a milk protein or hydroxybenzoates allergy. The tube should be stored at room temperature, away from direct sunlight. If sensitivity persists after 4 weeks of use, a dentist or physician should be consulted. The toothpaste contains pure water, glycerol, RECALDENT™ (CPP-ACP) Casein Phosphopeptide-Amorphous Calcium Phosphate, sorbitol, CMC-Na, propylene glycol, silicon dioxide, titanium dioxide, xylitol, phosphoric acid, flavoring, methyl salicylate, sodium saccharin, ethyl p-hydroxybenzoate, propyl p-hydroxybenzoate, butyl p-hydroxybenzoate, and sodium-N-lau-royl sarcosinate as inactive ingredients.*

* 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.