Product Images Oxygen

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Oxygen NDC 11365-001 by Medical Products Group Llc, 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.

RepresentativeHPLabel - HPLabel

RepresentativeHPLabel - HPLabel

This is a warning label for compressed oxygen that is used medically. It warns that the contents are under high pressure and may explode if heated. Safety precautions must be taken, and the oxygen should be kept away from combustibles. Specific instructions are given for using the oxygen safely with compatible equipment. The label also includes representative labeling information, pursuant to 21 CFR 207.3 (10). Company name and contact information appear in a box.*

RepresentativeLotSticker - LotSticker

RepresentativeLotSticker - LotSticker

This text contains information about Lot and Expiration Date of a product, possibly a drug or a food item. It also mentions a Representative Labeling code according to 21 CFR 207.3 (10).*

RepresentativeLOXLabel - LoxLabel

RepresentativeLOXLabel - LoxLabel

This is a label for a container of refrigerated liquid oxygen that contains important safety instructions and warnings. It advises proper handling, storage, and usage to avoid combustion, explosion, frostbite, and other hazards. The container should always be kept upright and used only with equipment cleaned for oxygen service, with adequate ventilation and no smoking. In case of emergencies, properly trained personnel may use it for resuscitation, while uninterrupted use of high concentrations of oxygen over a long duration may be harmful. The label also lists the contents, UN number, CAS number, and other information required by the FDA.*

* 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.