Product Images Skin Tag One Step Patches
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Product Label Images
The following 3 images provide visual information about the product associated with Skin Tag One Step Patches NDC 83809-022 by Shenzhen Yikai Electronic Technology Co., Ltd., 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.
1 - Label1
This text seems to be a list of products related to skin tag removal patches. The products mentioned are "iBeaLee One Step Patches" for skin tag removal, with a mention of 288 patches in the package. The patches are likely intended for skin tag treatment.*
2 - Label2
This description appears to be promoting a highly efficient skin tag removal product called "Tag One Step Patches." The patches are designed to provide immediate and all-day relief from skin tags. The product may contain tea tree oil or other soothing ingredients for skin tag removal. It seems to be an easy-to-use solution that involves applying the patch on the skin tag for a specific period, possibly for a long-lasting effect.*
3 - Label3
This is a detailed product description for skin tag removal patches by iBealLee. The patches are safe, hygienic, and easy to apply, providing quick and visible results. They are designed to conceal and waterproof, utilizing ingredients like Tea Tree Oil, Calendula, and Salicylic Acid. The manufacturer is Shenzhen Yikai Electronic Technology Co., Ltd., with batch details specified. Directions for safe use include washing the affected area, applying the tag patch, and repeating the process for up to 14 days for tag removal. The patches come with a warning to avoid suffocation and are recommended for external use only. The product is known for its effectiveness and efficiency in clearing skin tags, with a focus on gentle and non-irritating ingredients.*
* 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.
