Product Images Oxygen

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Oxygen NDC 66878-001 by Gc Medical Equipment, 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.

CompressedUSPLabel - GC Compressed USP Label copy

CompressedUSPLabel - GC Compressed USP Label copy

LOXLotSticker - GCMedicalLOXLotSticker copy

LOXLotSticker - GCMedicalLOXLotSticker copy

CompressedLotSticker - GCMedicalOxygenLotSticker copy

CompressedLotSticker - GCMedicalOxygenLotSticker copy

This is not-available as the text provided is incomplete and does not provide any useful information.*

LiquidOxygenLabel - Liquid USP Label

LiquidOxygenLabel - Liquid USP Label

Oxygen U.S.P. is a refrigerated liquid that is extremely cold and oxidizing, and is under pressure. Contact with combustibles or oils can cause combustion or explosion on impact or ignition. It is produced by air liquefaction and is dangerous to handle without proper equipment and ventilation. It is only meant for emergency resuscitation and oxygen deficiency treatment by qualified personnel. Federal law prohibits dispensing without a prescription. Using high concentrations of oxygen without equipment to monitor blood oxygen levels can be harmful. Oxygen U.S.P. should not be used on patients who have stopped breathing unless used with resuscitative equipment. Proper handling involves keeping it away from oil, grease, combustibles, heat, and open flame. The container must be kept upright, and spills must be avoided. If frostbite occurs, medical treatment should be obtained immediately. Federal law requires that only establishments registered as a drug producer refill this container with Liquid Oxygen U.S.P. This label must not be removed.*

* 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.