Product Images Royal Jelly Kit Jafra

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Product Label Images

The following 2 images provide visual information about the product associated with Royal Jelly Kit Jafra NDC 68828-242 by Jafra Cosmetics International, 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.

Carton back - Royal Jelly kit back

Carton back - Royal Jelly kit back

Solar Protection Fluid Broad Spectrum SPF 50 is a sunscreen that helps prevent sunburn and decreases the risk of skin cancer and early skin aging caused by the sun. It contains avobenzone, homosalate, octisalate, and octocrylene as active ingredients. The product should be applied liberally 15 minutes before sun exposure and reapplied at least every 2 hours or after swimming or sweating. Users are encouraged to limit time in the sun from 10 a.m. to 2 p.m.; to wear long-sleeve shirts, pants, hats, and sunglasses; and to protect the product from excessive heat and direct sun. The product is for external use only and not for use on damaged or broken skin. If a rash occurs, users should stop using the product and seek medical attention. If swallowed, users are advised to get medical help or contact a Poison Control Center immediately.*

Carton Front - Royal Jelly kit front

Carton Front - Royal Jelly kit front

The Royal Jelly Gentle Cleansing Milk by JAFRA is a clinically, allergy, irritancy, and dermatologist-tested face wash that should be used twice daily to cleanse the skin. It should be used together with the JAFRA Revitalizing Sonic Cleanser, fingertips, or washcloth and rinsed with warm water. Follow up your cleansing routine with the JAFRA Royal Jelly Vitamin Infusions, Solar Protection Fluid SPF 50, and Global Longevity Balm. The Global Longevity Balm also boasts a variety of specialty Vitamin Infusions that are clinically, allergy, irritancy, and dermatologist-tested.*

* 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.