Product Images Nail Renew

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Product Label Images

The following 3 images provide visual information about the product associated with Nail Renew NDC 62858-101 by Nailrenew 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.

NailRenew_BottleLabel_Back-1 - NailRenew BottleLabel Back 1

NailRenew_BottleLabel_Back-1 - NailRenew BottleLabel Back 1

This is a drug product marketed by NailRENEW, located in Katonah, NY 10536. The product contains Tolnaftate 1.0%, which is effective in treating most fungal skin infections, such as Athlete's Foot and Ringworm. The product is designed to relieve symptoms associated with these conditions, including itching, burning, cracking, redness, and scaling. It is for external use only, and caution must be taken not to ingest the product accidentally. The product should not be used on children under two years of age unless directed by a doctor, and should not be used near the eyes, ears, or mouth. Contact information is available for any questions regarding the product.*

NailRenew_BottleLabel_Back-2 - NailRenew BottleLabel Back 2

NailRenew_BottleLabel_Back-2 - NailRenew BottleLabel Back 2

Stop Peeling is a topical solution for the treatment of skin fungal infections in areas such as toes and cuticles, except for scalp or nails. It is applied twice daily on the affected areas, followed by a hygiene regimen to prevent reinfection. It is important to apply adjacent fingers or toes to prevent the spread of infection. The solution is made up of a variety of inactive ingredients, including water, glyceryl stearate, and aloe vera.*

NailRenew_BottleLabel_Front - NailRenew BottleLabel Front

NailRenew_BottleLabel_Front - NailRenew BottleLabel Front

NailRENEW is a professional strength fungal renewal solution available in a 1fl oz/30 ml container. For more information, visit NAIL-RENEW.COM.*

* 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.