Product Images H.e.b Solutions Sunscreen

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with H.e.b Solutions Sunscreen NDC 37808-956 by H.e.b, 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.

Label - 37808 956 09

Label - 37808 956 09

This is a description of a sunscreen product with spectra-plex technology. The sunscreen has broad-spectrum SPF 50 that reduces the risk of skin cancer and skin aging caused by the sun. It is fragrance-free and water-resistant for up to 80 minutes. The product comes in a 3 fl oz tube. It contains various active ingredients, including avobenzone, homosalate, octisalate, octocrylene, and 0xybenzone. It also has several inactive ingredients that support hydration such as water, propylene glycol, and aloe vera. The product should be used 15 minutes before sun exposure, and it’s recommended to reapply every two hours or immediately after towel drying. The sunscreen also comes with directions to limit time in the sun and wear protective clothing.*

Label - 37808 956 12

Label - 37808 956 12

This is a sunscreen product with active ingredients such as Avobenzone, Homosalate, Octisalate, Octocrylene, and Oxybenzone. It is specially designed to prevent sunburn and skin ageing caused by the sun while reducing the risk of skin cancer. The product is for external use only, and it should not be used on broken or damaged skin. The sunscreen should be applied liberally at least 15 minutes before sun exposure and reapplied after 80 minutes of swimming or sweating, immediately after towel drying, and at least every two hours. The product should be kept out of reach of children and should be protected from excessive heat and direct sun. For further inquiries, customer service is available.*

* 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.