La Roche Posay Laboratoire Dermatologique Toleraine Double Repair Matte Moisturizer Uv Broad Spectrum Spf 30 For Oily, Combination Skin Cream
Product Images NDC 49967-387

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for La Roche Posay Laboratoire Dermatologique Toleraine Double Repair Matte Moisturizer Uv Broad Spectrum Spf 30 For Oily, Combination Skin (NDC 49967-387). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by L�oreal Usa Products Inc, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Image Description (Lrp 100ml Primary Pack)

FDA Label Image

Image Description (Lrp 100ml Secondary)

Image Description (Lrp 100ml Secondary)
This product is the result of 10 years of research and 13 clinical studies in partnership with dermatologists. The formulation emphasizes the importance of a healthy skin microbiome. It contains a unique water - prebiotic thermal water from La Roche-Posay, mined at Europe's leading center of dermatology research. The product is dermatologist-tested for safety, non-comedogenic, fragrance-free, and contains Ceramide-3, Niacinamide, and prebiotic thermal water. It helps protect, reduce visible signs of skin issues like dryness, wrinkles, redness, and uneven skin tone. This moisturizer also provides broad-spectrum protection against UV rays, helps reduce shine, minimize pores, hydrate, strengthen the skin barrier, and is suitable for sensitive skin. It is formulated without drying alcohols, parabens, and is allergy-tested. Moreover, it offers sun protection benefits and is designed to be gentle and effective on the skin.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.