Product Images Lidocaine Hci
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 5 images provide visual information about the product associated with Lidocaine Hci NDC 51662-1382 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.
CARTON LABELING - Box Labeling
This is a description of a medication called Lidocaine HCl Injection, USP. It is available in a 5mL (2%) container and is intended for intravenous injection to treat ventricular arrhythmias. Each mL of the medication contains 20 mg of Lidocaine hydrochloride, 6 mg of sodium chloride, and sodium hydroxide and/or hydrochloride to adjust the pH. It is manufactured by International Medication Systems, Ltd. The text also includes a barcode, a NDC number (7632933901), and a stock number (3380).*
HOW SUPPLIED - How Supplied
This appears to be instructions for preparing an injector device. The instructions include removing protective caps, threading the vial injector, removing the cover and halting the process until the stoppers are in place. The text also advises against pushing the vial into the injector to avoid misalignment.*
SERIALIZED CARTON LABELING - Serialized Box Labeling
This is a description for an intravenous injection medication of Lidocaine HCl to treat ventricular arrhythmias. It is a single-use and preservative-free solution that should be stored at controlled room temperature. The usual dosage is indicated in the package insert. The product is distributed by HF Acquisition Co., LLC and the NDC code is 76329-3390-1. The medication comes in a Luer-Jet™ Luer-Lock prefilled syringe with 100mg per 5mL.*
STRUCTURE - Structure
SYRINGE LABELING - Vial Labeling
This is a barcode with the number 0376320330016 encoded in the FPO format. No further information is available.*
* 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.