Product Images Cvs Health Spf 55 Ultra Sheer

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Product Label Images

The following 3 images provide visual information about the product associated with Cvs Health Spf 55 Ultra Sheer NDC 69842-112 by Cvs Pharmacy, 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.

CVS13887A1

CVS13887A1

CVS Pharmacy Ultra Sheer Lotion SPF 55 is a broad-spectrum sunscreen that provides photostable UVA/UVB protection and is water-resistant for up to 80 minutes. Its oil-free formula won't clog pores, and it absorbs quickly, leaving skin feeling smooth and dry with no greasy residue. Dermatologist-tested and comparable to Neutrogena Ultra Sheer Dry Touch sunscreen, this lotion comes in a 3-fl-oz bottle. Drug facts information is available on the packaging. Contact information for CVS is also provided.*

CVS35899A1

CVS35899A1

GVS Health™ Ultra Sheer Lotion SPF 55 is a broad-spectrum sunscreen with UVA/UVB protection that quickly absorbs and doesn't clog pores. It is water-resistant for up to 80 minutes and has been dermatologist tested. The lotion leaves skin feeling smooth and soft with no greasy residue and is available in a 30FL0Z (89 mL) size. It is comparable to Neutrogena Ultra Sheer® Dry-Touch. Note that the text contains a warning and directions.*

CVS59097A

CVS59097A

CVS Health Ultra Sheer Lotion is a broad-spectrum sunscreen with SPF 55 that quickly absorbs into the skin for a smooth and soft texture, leaving no greasy residue. The dermatologist-tested sunscreen is water-resistant for up to 80 minutes and provides UVA/UVB protection. The active ingredients include Octisalate and Oxybenzone, which protect the skin from damage caused by the sun. CVS Health Ultra Sheer Lotion is recommended as an effective alternative to Neutrogena's Ultra Sheer Dry-Touch sunscreen.*

* 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.