Product Images Heb Broad Spectrum Spf 30 Pomegranate Scented Sunscreen Lip Balm

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Heb Broad Spectrum Spf 30 Pomegranate Scented Sunscreen Lip Balm NDC 37808-337 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.

HEB20864E - HEB20864E

HEB20864E - HEB20864E

This is a sunscreen lip balm manufactured by the H-E-B company of San Antonio, Texas. It contains four active ingredients (avobenzone, homosalate, octisalate, and octocrylene) that together ensure UVA/UVB protection with a broad-spectrum SPF 30. This product moisturizes and protects dry lips with pomegranate scented flavor and is water-resistant for up to 80 minutes. The user should apply it 15 minutes before sun exposure and avoid contact with eyes. It is only for external use and must not be used on damaged or broken skin. If a rash occurs, the use should be stopped, and a doctor should be consulted. The product is not meant for children and must be kept out of their reach. The packaging provides full drug facts information for the product.*

HEB20864K - HEB20864K

HEB20864K - HEB20864K

This is a product description for a sunscreen lip balm made by H-E-B, a company based in San Antonio, Texas. The lip balm provides UVA/UVB protection, is water-resistant for up to 80 minutes, and has a broad spectrum SPF 30. It is scented with pomegranate, and contains moisturizing and protective ingredients like Vitamin E and Aloe Vera. The product is free of Retinyl Palmitate and is advised to be used regularly to decrease the risk of skin cancer and skin aging. The inactive ingredients include several chemicals like dimethicone and cet o. The product comes in a tube with a net weight of 0.3 oz (85 g).*

* 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.