Product Images Caresens Alcohol Prep Pads

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Product Label Images

The following 2 images provide visual information about the product associated with Caresens Alcohol Prep Pads NDC 74932-420 by Hlb Co.,ltd_healthcare, 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.

Image of carton - 600 pcs carton

Image of carton - 600 pcs carton

This text provides information about CareSens Alcohol Prep Pads, which are saturated with 70% Isopropyl Alcohol. It gives a warning not to use if opened or damaged and specifies that they are for external use only. The text also mentions a batch code and use by date.*

Image of carton - 800pcs carton

Image of carton - 800pcs carton

This is a description of CareSens® Alcohol Prep Pads containing 70% Isopropyl Alcohol. The pads are saturated with alcohol and are used to help reduce germs and bacteria that can cause diseases. They are for external use only and should not be used if opened or damaged. The Drug Facts section lists Isopropyl Alcohol as the active ingredient, serving as an antiseptic. The pads are flammable and should be kept away from heat or flame. Users are advised not to use near the eyes, on broken skin, or on mucous membranes. It is also highlighted to avoid inhaling or ingesting the product and to discard after a single use to prevent the risk of infection. If irritation or rash occurs, users are recommended to stop use and consult a doctor. The prep pads should be kept out of reach of children, and in case of ingestion, medical help should be sought immediately. The directions include taking one pad, wiping the injection or inspection site smoothly. Storage should be below 86°F (between 1-30°C), and it is noted that the product may discolor certain fabrics or surfaces. Additionally, the inactive ingredients include water and non-woven fabric.*

* 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.