Product Images Deserving Health Natural Sunblock

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Deserving Health Natural Sunblock NDC 69711-301 by Deserving Health International Corp, 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 120 ml - 69711 301 01 sunblock SPF30 120ml Label

Label 120 ml - 69711 301 01 sunblock SPF30 120ml Label

Deserving Health is a sunblock with broad-spectrum SPF 30+ protection from UVA and UVB rays, which is water-resistant and biodegradable. It contains moisturizing vitamins A, C, E, and aloe and is suitable for all skin types. The sunblock's ingredients are natural, and it is certified organic. The sunblock comes in a 4-fl oz (120 ml) net weight. The sunblock's active ingredient is octocrylene (4%). The product should be applied 15 minutes before sun exposure, reapplied every two hours or after sweating, and used in conjunction with other sun protection measures. The phone number given is for questions related to the product.*

240 ml Label - 69711 301 02 SPF30 240mL Label

240 ml Label - 69711 301 02 SPF30 240mL Label

The text describes a product called "Deserving Health" which claims to be a natural sunblock with broad spectrum SPF 30+ protection. The ingredients appear to be organic and contain moisturizing vitamins A, C, E, and A. The product is contained in a bottle with a net weight of 8 oz. The directions suggest applying the sunblock 15 minutes prior to sun exposure and reapplying every 2 hours for maximum protection. The drug facts indicate that active ingredients include octocrylene, oxybenzone, and avobenzone. The text also includes contact information for any questions or concerns.*

* 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.