Product Images Mckesson Fluoride

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Product Label Images

The following 3 images provide visual information about the product associated with Mckesson Fluoride NDC 68599-0123 by Mckesson Medical-surgical, 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.

Principal Display Panel – 1.5 oz Case Label - mck03 0000 01

Principal Display Panel – 1.5 oz Case Label - mck03 0000 01

Principal Display Panel – 1.5 oz Box Label - mck03 0000 02

Principal Display Panel – 1.5 oz Box Label - mck03 0000 02

MESKESSON is a dental product that helps to protect against cavities. It contains Sodium Monofluorophosphate as an active ingredient. The product is recommended for adults and children above 2 years of age. Children below six years should use a smaller amount to avoid swallowing and be supervised while brushing. MESKESSON has several inactive ingredients such as calcium carbonate, purified water, sorbitol, hydrated silica, glycerin, sodium lauryl sulfate, flavor, tetrasodium pyrophosphate, carboxy methyl cellulose, sodium benzoate, and sodium saccharin. Made in Malaysia, the product is marketed by the Sisson Corporation, and it has a reorder number of USEEYA.*

Principal Display Panel – 1.5 oz Tube Label - mck03 0000 03

Principal Display Panel – 1.5 oz Tube Label - mck03 0000 03

MEKESSON is a toothpaste marketed by McKesson Corporation. It contains 0.76% Sodium Monofluorophosphate and is designed to help protect against cavities. The toothpaste is recommended for adults and children aged above 2 years. Children under 6 years of age should use a pea-sized amount, and brushing should be supervised until good habits are established. The toothpaste contains inactive ingredients like calcium carbonate, sorbitol, purified water, and flavored with glycerin. The product is made in Malaysia and is latex-free.*

* 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.