Product Images Sunmark Lice Killing Maximum Strength Lice Treatment
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Product Label Images
The following 23 images provide visual information about the product associated with Sunmark Lice Killing Maximum Strength Lice Treatment NDC 76413-350 by Central Texas Community Health Centers, 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.
This text provides guidelines for using a product on different hair lengths. It suggests the approximate amount of product needed for the first and second application for short, medium, and long hair. It also advises that children under 2 years should consult a doctor before use.*
This text provides usage guidelines for a hair product, specifying the amount of the product to be used based on the length of the hair and the age of the individual. It also includes a cautionary statement for children under the age of 2 to consult a doctor before using the product.*
This appears to be a set of instructions for using a hair product. It includes different amounts of the product to use based on the length of one's hair and whether it is a first or second application. There is a note to consult a doctor for children under 2 years old.*
This text provides instructions and information about the amount of hair product to use for different hair lengths and ages. The first application requires approximately half a tube (2oz) for adults or children with hair until the ears, while the second application needs 2 tubes (4oz) for hair until the shoulders or longer. It recommends consulting a doctor for children under 2 years of age.*
The City of Austin Department of Health provides a lice treatment called Lice Treatment Max Strength Shampoo. The product has the NDG 76413-350-01 code and is by the brand Ban Lot B Sunmark. The text also mentions to use the product as directed.*
* 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.