Product Images Acetylcysteine

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Product Label Images

The following 6 images provide visual information about the product associated with Acetylcysteine NDC 63323-963 by Fresenius Kabi Usa, 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.

PRX ctnPDP - PRXaceinjctnPDP

PRX ctnPDP - PRXaceinjctnPDP

This is a description of Acetylcysteine injection in 4x30mL single dose vials with NDC code 63323-963-44 and PRX963030. The solution contains 6 grams of Acetylcysteine per 30mL with 200mg per mL concentration that must be further diluted before intravenous use. The unused portion should be discarded. The size of the un varnish area is 50x30 mm. This product is from PREMIERProRX®.*

prxvialPDP - PRXaceinjvialPDP

prxvialPDP - PRXaceinjvialPDP

This is a medication called Acetylcysteine, available as an injectable solution in a 6 grams per 30 mL concentration with 200 mg per mL. The medication must be further diluted before using intravenously, as mentioned on the label. The product is available in a 30 mL single-dose vial intended for prescription use only. The manufacturer is Premier ProRx ®.*

prxlogo - PRXlogo

prxlogo - PRXlogo

figure 1 - acetylcysteine 01

figure 1 - acetylcysteine 01

figure 2 - acetylcysteine 02

figure 2 - acetylcysteine 02

This text appears to be a set of medical instructions related to the ingestion of acetaminophen. It recommends that a serum be drawn for acetaminophen level testing within 24 hours of an overdose, and that acetylcysteine should be considered as a treatment option. The text also includes instructions on plotting plasma level and treatment lines. If the time of ingestion is unknown or unreliable, it suggests considering empiric initiation of acetylcysteine.*

Figure 3 - acetylcysteine 03

Figure 3 - acetylcysteine 03

* 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.