Product Images Forticept Antifungal Balm

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Product Label Images

The following 2 images provide visual information about the product associated with Forticept Antifungal Balm NDC 52261-0100 by Cosco International, Inc., 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.

30g - MM0

30g - MM0

Forticept Antifungal Cooling Balm is a potent formulation that can effectively treat and prevent athlete's foot (tinea pedis), ringworm (tinea corporis), and jock itch (tinea cruris). It contains Tolnaftate 1%, and the inactive ingredients include Acticire®, Capric Caprylic Triglyceride, Dimethicone, Eucalyptus Oil, Glyceryl Behenate, Glyceryl Stearate, Lavander Cil, LexFeel® N5, Methyl Lactate, PEG 40 Hydrogenated Castor 0il, Polyhexanide, Sunflower Oil, Tea Tree Oil, and Water. To use the balm, clean the affected area with soap and warm water, and dry thoroughly before applying a thin layer of the balm twice daily. Forticept Antifungal Cooling Balm provides overnight relief from itching and burning and also creates a protective barrier over the affected area, staying on all night. It is meant for use by healthy individuals, and children under two should not use it unless directed by a doctor. If there is no improvement within four weeks (for athlete's foot or ringworm) or two weeks (for jock itch), you should consult a doctor.*

60g - MM1

60g - MM1

Forticept Antifungal Cooling Balm is an effective medication for the treatment and prevention of many types of fungal infections. This product's active ingredient is Tolnaftate 1%. It is clinically proven to treat athlete's foot, jock itch, and ringworm. The balm provides a cooling effect, and its overnight formula helps create a protective barrier against fungal infections. Avoid using it on children under 2 years and keep it out of reach for children. If swallowed, seek medical help.*

* 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.