Product Images Naked Sundays Cabana Glow Mineral Glow Serum Drops Illuminating 40ml With Pink Algae Spf 50

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Product Label Images

The following 2 images provide visual information about the product associated with Naked Sundays Cabana Glow Mineral Glow Serum Drops Illuminating 40ml With Pink Algae Spf 50 NDC 62282-986 by Northwest Cosmetic Laboratories Llc, Dba Elevation Labs, Idaho, 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.

1 - 986 001

1 - 986 001

This is a drug fact sheet for a sunscreen product. It contains information about the active ingredients, warnings, directions for use, and inactive ingredients. It emphasizes the importance of sun protection to prevent skin cancer and early skin aging caused by the sun. The product should be applied liberally and reapplied every 80 minutes, especially after swimming or sweating. It also advises on sun protection measures such as wearing protective clothing and seeking shade during peak sun hours. The product should be stored below 50°C. For more information, questions can be directed to [email protected].*

2 - Naked Sundays Cabana Glow Mineral Drops illuminating with Pink Algae 15mL

2 - Naked Sundays  Cabana Glow Mineral Drops illuminating  with Pink Algae 15mL

The text provided is a list of ingredients and instructions for a skincare product, specifically a sunscreen. The product contains various active ingredients such as Propanediol and Sodium Hyaluronate, along with directions for use like applying generously 15 minutes before sun exposure and reapplying every two hours. It also includes a section on the purpose of the sunscreen, warnings about its usage, and tips for sun protection measures to prevent skin cancer and early aging caused by the sun. Additionally, there is contact information available for inquiries about the product.*

* 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.