Product Images Scrubs Sunscren
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 3 images provide visual information about the product associated with Scrubs Sunscren NDC 51239-3921 by Itw Pro Brands, 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.
This is a list of the active ingredients in a product, including avobenzone at a concentration of 3%, homosalate at 7.5%, octisalate at 5%, and octocrylene at 5%.*
This is a description of a sunscreen product that provides broad-spectrum UVA/UVB protection from sunburn. It is recommended to apply the lotion generously 15 minutes before sun exposure and reapply every 2 hours. The product contains aloe vera gel and vitamin E and is resistant to water for 80 minutes, making it suitable for use during swimming or sweating. The sunscreen helps prevent skin cancer and should be used with other sun protection measures. The active ingredients include acrylates/c10-30 alkyl acrylate crosspolymer, aloe barbadensis, and theobroma cacao seed butter. If the product is swallowed, medical help should be sought immediately, and if rashes occur, a doctor should be consulted. Keep out of reach of children. This product is made by ITW Pro Brands and is PABA-free and oil-free. The text also includes contact information for ITW Pro Brands, as well as directions for use and a list of additional safety precautions.*
This is a list of inactive ingredients found in a product, which include a variety of chemicals such as acrylates, aloe vera juice, carbomer, and sorbitan oleate, among others. These ingredients are used in small quantities and do not have any therapeutic effect but may play a role in the texture, consistency, and stability of the product. The product may be a cosmetic or a pharmaceutical preparation, although its nature cannot be determined from the given text.*
* 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.