Product Images Lidocaine Hcl And Epi

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 8 images provide visual information about the product associated with Lidocaine Hcl And Epi NDC 51662-1589 by Hf Acquisition Co Llc, Dba Healthfirst, 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.

POUCH LABELING - 51662 1589 2 POUCH LABEL

POUCH LABELING - 51662 1589 2 POUCH LABEL

Case Labeling - 51662 1589 3 CASE LABEL

Case Labeling - 51662 1589 3 CASE LABEL

XYLOCAINE® is an injectable medication containing both Lidocaine HCl and EPT, with a concentration of 160,0001%. It is available in a 58mL vial, with a strength of 500ng/50nL (16ng/nL), and there are 25 vials per case. The provided information also includes some identification numbers and codes, such as an XR number and an NDC code. However, towards the end of the text, there are some unclear characters present, suggesting errors during and rendering the text difficult to interpret.*

Serialized Label - 51662 1589 3 SERIALIZED RFID LABEL

Serialized Label - 51662 1589 3 SERIALIZED RFID LABEL

MAX DOSE - MAX DOSE

MAX DOSE - MAX DOSE

PRECAUTIONS - PRECAUTIONS

PRECAUTIONS - PRECAUTIONS

This appears to be a chart or table listing various classes of drugs and examples of those drugs within each class. The classes include nitrates/nitrites, local anesthetics, antineoplastic agents, antibiotics, antimalarials, anticonvulsants, and other drugs. Specific examples of drugs within each class are also provided; for example, nitroglycerin and nitrous oxide are listed as examples of nitrates/nitrites, while lidocaine and bupivacaine are examples of local anesthetics.*

S1 - STRUCTURE 1

S1 - STRUCTURE 1

S2 - STRUCTURE 2

S2 - STRUCTURE 2

VIAL LABEL - VIAL LABEL

VIAL LABEL - VIAL LABEL

* 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.