Product Images Botanics Face Renewal Sunscreen Spf 15
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 3 images provide visual information about the product associated with Botanics Face Renewal Sunscreen Spf 15 NDC 11489-057 by Bcm Ltd, 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.
Face Renewal Cream back label - Face Renewal Cream back label
Active ingredient of the product is Octifiosints and B.OY%AVEDERBNE30%. The product may increase skin's sensitivity to sunburn due to the presence of alpha hydroxy acid (AHA) and advises to use sunscreen and limit sun exposure for at least a week after using the product. The product is manufactured by Boots Retail USA Inc. in the US and distributed in the UK by Fabriaus. The warning mentions that the color may vary due to natural oxides but is mostly unreadable.*
Face Renewal Cream carton - Face Renewal Cream carton
This is a description of a moisturizing cream with UVA/UVB balanced SPF 15 that is formulated to help reduce the visible signs of skin aging by replenishing lost moisture and shielding against environmental damage. It contains Hibiscus and Pomegranate extracts that aid in skin renewal and smooth out fine lines and wrinkles. It also comes with warnings and directions for use, including the reminder to keep it out of reach from children, and store it at a temperature not exceeding 30°C or 86°F. The listed inactive ingredients are meant to aid in the effectiveness of the product and may cause color variations. Contact information for questions is provided, along with the pedigree of the cream being dermatologically tested and manufactured in the UK for BBI NG2 3AA, distributed in the USA by Boots Retail USA Inc., and marketed under the slogan “The Power of Plants, BOTANICS”.*
Face Renewal Cream front label - Face Renewal Cream front 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.