Product Images The Duo

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with The Duo NDC 72164-100 by Smiletwice, 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.

Label - Label

Label - Label

This is a description of a toothpaste called Early Bird, with peppermint flavor. It comes in a 3.4 oz (96 grams) tube and it is advertised as premium toothpaste with teeth whitening, cavity prevention, and sensitivity relief benefits. The toothpaste is free of triclosan, PEGs, and parabens, and it contains antioxidants and vitamins. Active ingredients include 5% of potassium nitrate for anti-sensitivity and 0.240% of sodium fluoride for anti-cavity purposes. The toothpaste is intended for adults and children over 12 years old. Inactive ingredients include sorbitol, glycerin, flavor, xylitol, and titanium dioxide, among others. The manufacturer is Twice Smiles LLC, located in Purchase, NY. The toothpaste is meant to be used twice a day. If pain/sensitivity still persists after four weeks of use, users should immediately contact their dentist. The toothpaste packaging reads: "Toothpaste so nice, you'll smile twice."*

Label2 - Label2

Label2 - Label2

TWILIGHT™ toothpaste is a premium toothpaste that promotes sensitivity relief, teeth whitening, and cavity prevention. The toothpaste contains potassium nitrate and sodium fluoride that aid in reducing teeth sensitivity and preventing cavities. TWILIGHT™ toothpaste is infused with antioxidants and vitamins to provide a spa-like refreshing sensation. This toothpaste is suitable for adults and children aged 12 years and above. It does not contain harmful additives such as parabens, PEGs, triclosan, and SLS. The toothpaste package is 3.4 oz or 96 grams.*

* 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.