Dr Pawpaw Multipurpose Lip Balm With Natural Pawpaw And Spf 30 Cream
Product Images NDC 84572-000

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Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Dr Pawpaw Multipurpose Lip Balm With Natural Pawpaw And Spf 30 (NDC 84572-000). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Dr Pawpaw Limited, 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

Inner Label.jpg (Inner Label)

Inner Label.jpg (Inner Label)
This text describes a multipurpose lip balm with natural pawpaw and SPF 30, suitable for use on both lips and skin. The lip balm is vegan-friendly and is designed to soften and smooth the lips while protecting and restoring them. It contains a variety of ingredients including Castor Seed Oil, Sunflower Seed Oil, Papaya Fruit Extract, and Aloe Barbadensis Leaf Extract. The product is manufactured for Dr.PawPaw Ltd in Kent, UK, and is made in the USA. The label contains a warning for external use only and to avoid direct contact with eyes. The lip balm comes in a packaging size of 0.271 oz or 8 ml.*
FDA Label Image

Label01.jpg (Label01)

Label01.jpg (Label01)
This is a description of a sunscreen product containing various active ingredients like avobenzone and octinoxate, each serving as a sunscreen to help prevent sunburn. The product also mentions the importance of applying it 15 minutes before sun exposure and reapplying every 2 hours. It highlights the potential benefits of sun protection against skin cancer and early skin aging. The sunscreen should be stored away from heat and direct sun and should not be used on damaged skin. It also lists some inactive ingredients that make up the product, such as oils, acids, and fruit extracts.*

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