Product Images Nicotrol
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 16 images provide visual information about the product associated with Nicotrol NDC 0009-5401 by Pharmacia & Upjohn Company 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.
The figure shows the average and range of the 95th and 5th percentiles of nicotine concentrations after administering a 1mg dose of NICOTROL NS to a group of 30 individuals. There is no additional information available in the provided text.*
The figure displays the average, 95th percentile, and 5th percentile trough nicotine plasma concentrations in subjects who took NICOTROL NS for 12 hours. The sample size of the study was 16 individuals, and three different dosages were administered: 1mg, 2mg, and 3mg.*
NDC 0009-5401-01 S is a nicotine nasal spray of concentration 10mg/mL. It is meant for nasal use only and should be kept out of the reach of children. Each metered spray contains 0.5mg of nicotine, and each dose consists of a spray in each nostril, leading to a total of 1mg dose. For dosage and disposal information, refer to the patient information. It is advised to store it between 5°C to 30°C (59°F to 86°F). The product is manufactured in Sweden. Distributed by Pharmacia & Upjohn Co, Division of Pize Inc, NY, NY 10017.*
This is a description of a Nicotine Nasal Spray which comes in four 10mL bottles and is identified by the NDC code 0009-5401-01. The spray contains 10 mg/mL of nicotine and each metered spray has 0.5 mg of nicotine. The inactive ingredients include edetate disodium, sodium chloride, citric acid, and others. The dosage information is available in the patient information for use and disposal of the spray. The storage requirement for this spray is at room temperature.*
* 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.