Product Images Made By Dentists For Kids Monster Slime Sour Apple

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Product Label Images

The following 3 images provide visual information about the product associated with Made By Dentists For Kids Monster Slime Sour Apple NDC 75065-023 by Made By Dentists 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.

Label2.jpg - Label2

Label2.jpg - Label2

This is a description of professional oral care for kids with sodium fluoride as an active ingredient to prevent cavities. The product comes with directions for adults and children above 2 years of age, as well as warnings to keep out of reach of children under 6 years. It is cruelty-free, vegan-friendly, sulfate-free, and contains no artificial colors, triclosan, or flavors. The plastic used is made from recycled plastics and is 100% recyclable. The flavor is sour apple monster slime. The product is made in Malaysia for the company Made By Dentists (MBD). Remember to visit the dentist regularly.*

Labell.jpg - Labell

Labell.jpg - Labell

This is a text from a dental product manufactured by Made By Dentists™. The product is a fluoride toothpaste named "Monster Slime" with a sour apple flavor. It is sulfate-free, with no artificial colors or flavors and is cruelty-free. The toothpaste has Sodium Fluoride as the active ingredient at a concentration of 0.24% for anticavity purposes. Directions for use include brushing thoroughly after meals or at least twice a day, supervised use for children under 6, and consulting a dentist for children under 2. The toothpaste is made in Malaysia for Made By Dentists and contains various inactive ingredients listed. For inquiries or comments, contact +1(646) 980-6461 or visit their website at MadeByDentists.com.*

inside label - inside label

inside label - inside label

* 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.