Product Images Arbonne Intelligence Pollution Defense Spf30 Cc Cream - Fair Shade
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Product Label Images
The following 3 images provide visual information about the product associated with Arbonne Intelligence Pollution Defense Spf30 Cc Cream - Fair Shade NDC 42508-226 by Arbonne International, Llc, 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.
primary - R02 01 AI PollutionDefenseCCcreamSPF30 comp FPO
This is the description for an Arbonne Intelligence Pollution Defense CC Cream with Broad Spectrum SPF 30 Sunscreen. The active ingredients in the cream are Titanium Dioxide and Zinc Oxide which help in preventing sunburn. The usage directions instruct to apply the cream liberally 15 minutes before sun exposure and reapply every 2 hours. The cream comes in a container that should be protected from heat and direct sun. The product is gluten-free and distributed by Arbonne International LLC.*
Shade - R02 01 AI PollutionDefenseCCcreamSPF30 ctn FPO
This is a drug fact label for Arbonne Intelligence Pollution Defense CC cream which is a broad-spectrum SPF 30 sun protection cream. It is intended for external use only, particularly as protection against skin aging caused by the sun. The product contains active ingredients like titanium dioxide (7%) to prevent sunburn and decrease the risk of skin cancer and early skin aging if used properly with other sun protection measures. The cream should be kept out of reach of children, and users should seek medical help in case of accidental ingestion. Additionally, users should avoid prolonged sun exposure, especially between 10 am-2 pm, wear protective clothing, and reapply the product at least every 2 hours or as needed. The label also contains a list of ingredients used in making the cream.*
carton - R04 Z1 2 3 PollutionDefense CCCream UnitLbl FPO
* 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.
