Max Rec Dosage 1 (Maximum Rec Dosage 1)
Lidocaine Hci Injection, Solution
Product Images NDC 51662-1422
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 7 technical images submitted to the FDA as part of the official labeling for Lidocaine Hci (NDC 51662-1422). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Hf Acquisition Co Llc, Dba Healthfirst, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Precautions 1 (Precautions 1)
This is a table showing different classes of drugs and some examples for each class. The classes include nitrates/nitrites, local anesthetic, antineoplastic agents, antibiotics, antimalarials, anticonvulsants, and other drugs. The examples for each class include different medications.*
Serialized Label (Serialized Label)
This appears to be a product description and manufacturing information for Lidocaine Hel injecti, a type of lidocaine injection used for infiltration and nerve block. The text includes a lot number (1905028.1), distribution information (HF Acquisition Co., LLC in Mukilteo, WA), and instructions to refer to the manufacturer's package insert for information on caudal and epidural use.*
Serialized Labeling (Serialized Vial Labeling)
This is a product label of Lidocaine injection, 2% (100mg/5 mL) used for local anesthesia. It comes in a sterilized, single-dose of 5 mL capacity and is preservative-free. It is designed for infiltration and block use, including but not limited to caudal and epidural anesthesia. The product is manufactured in Mukilteo, WA 98275, and is identified by a unique barcode and code number.*
Structure (Structure)
51662-1438-1 Vial Label 5 mL (Vial Label)
Vial Labeling (Vial Labeling)
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
