Product Images Kolorz

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Kolorz NDC 10733-395 by Medical Products Laboratories, 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.

image of package insert - insert

image of package insert - insert

Kolorz is a fluoride foam that can be used for oral hygiene. The foam is available in two variants: Kolorz Sixty Second Fluoride Foam and Kolorz Neutral Fluoride Foam. The Kolorz foam should be shaken well before usage, and the can should be turned upside down to dispense it. The foam should be dispensed towards a fluoride applicator tray. A recommended dosage of one press per arch should be used as the foam will expand slightly to fill the tray. The tray should be inserted into the mouth for 1 to 4 minutes for Kolorz Sixty Fluoride Foam and 4 minutes for Kolorz Neutral Fluoride Foam. The excess foam should be expectorated, and the patient should avoid eating, drinking, or rinsing for at least 30 minutes. The foam is available in 4.4oz cans and does not contain chlorofluorocarbon propellant. However, it should be noted that Kolorz should only be used by professionals, and federal U.S.A prohibits dispensing without a prescription.*

image of can label - kolorz

image of can label - kolorz

Indicated for the topical application of fluoride for protecting against dental caries. Contains a sodium fluoride foam base, 2.72% Scim. The fluoride foam is free from gluten and sweetened with Scros. It does not contain chlorofluorocarbon propellant. The warning advises avoiding spraying towards an open flame, and the emergency response number is printed. Recommended for professional use only. Shake well before use. The product contains cherry cheesecake flavor. Reorder number 766202.*

* 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.