Product Images Crayola Sunglow Yellow Roll On Hand Sanitizer

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Product Label Images

The following 3 images provide visual information about the product associated with Crayola Sunglow Yellow Roll On Hand Sanitizer NDC 48871-009 by Health-tech, 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.

Crayola card - crayolacard

Crayola card - crayolacard

This is a description of a 20mL Alcohol-Free hand sanitizer roll-on that comes with a carabiner clip. It has a clean fresh scent and contains Benzalkonium Chloride 0.13%, an antimicrobial agent, to decrease bacteria on the skin. The hand sanitizer should be used externally only and kept away from children. In case of ingestion, contact a Poison Control center. It should not be used in the eyes, and use should be discontinued if any irritation or redness occurs. The inactive ingredients in this product include Aloe Vera, Cetrimonium chloride, DI Water, Disodium EDTA, Fragrance, and Luvigel. The manufacturer is Health-Tech, Inc located in Boynton Beach, FL 33426.*

Crayola roll on shipper label - crayolarollonshipper

Crayola roll on shipper label - crayolarollonshipper

This text describes a product named "CRAYOLA HAND SANITIZER" which comes in a portable roll-on bottle with 15mL of liquid. The item number is 5025 and there are four different presentation packages available with 24, 24, 72, and 24 units respectively, each with different NDC codes. The product is made by HEALTH TECH., INC located in Boynton Beach, FL. The last line appears to be a barcode number.*

Crayola Sun glow yellow label - crayolasgylabel

Crayola Sun glow yellow label - crayolasgylabel

This appears to be a label or packaging for an alcohol-free hand sanitizing roll-on product with a clean, fresh scent and a color described as "Sunglow Yellow."*

* 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.