Product Images Phytozine Ringworm Treatment Maximum Strength

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Phytozine Ringworm Treatment Maximum Strength NDC 71229-101 by The Sisquoc Healthcare Corporation, 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.

Insert Phytozine '17 - Insert Phytozine 17

Insert Phytozine '17 - Insert Phytozine 17

PHYTOZINE is an effective treatment for ringworm infections on the skin and scalp. It is made of anti-fungal agents, essential oils and fungus-fighting extracts. This ointment is created to fight ringworm infections specifically. PHYTOZINE is readily absorbed into surrounding affected skin and is recommended to be applied twice daily (morning and night). Treatment should be uninterrupted for a minimum of three weeks, since ringworm infections tend to return if not thoroughly eliminated. It is also recommended to consult a medical professional if substantial progress is not observed in stubborn cases.*

Label Phytozine Retail Proof 1-17 - Label Phytozine Retail Proof 1 17

Label Phytozine Retail Proof 1-17 - Label Phytozine Retail Proof 1 17

MAXIMUM STRENGTH Phytozine is a topical cream that contains Tolnaftate 1%. It is primarily used to cure most ringworm and to relieve itching, redness, irritation, and discomfort that accompanies this condition. It is for external use only and should be kept out of the reach of children. Avoid contact with the eyes or intake. If irritation occurs or if there is no improvement within four weeks, discontinue its usage and consult a doctor. Store between 20° to 25°C (88° to 77°F). This product is not useful on the scalp or nails. Distributed by Slsquoc Healthcare, Inc. Newport Beach, CA 92660 U.S.A. ©2017*

* 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.