Product Images Gabapentin
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Product Label Images
The following 10 images provide visual information about the product associated with Gabapentin NDC 68001-411 by Bluepoint Laboratories, 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.
Glenmark Pharmaceuticals Ltd. has produced Gabapentin Tablets USP, 600mg for BluePoint Laboratories. Each tablet contains 600mg of gabapentin. The medication guide must be given to each patient, and dosage and use information can be found on the package insert. The tablets should be stored at a temperature range of 15-30°C (59-86°F), and should be dispensed in a child-resistant container. For more information, visit www.glenmarkpharma-us.com/medguides-bluepoint => s? 1(888) 721-7115.*
This is a description of a medication called Gabapentin Tablets, USP, designed to be dispensed by pharmacists. The medication is manufactured by Glenmark Pharmaceuticals Ltd. in India, and is distributed by BluePoint Laboratories with an NDC code of 68001-412-00. Each tablet contains 800mg of Gabapentin USP, and the medication guide is provided separately for each patient. The dosage and use of the medication can be found in the package insert, and the medication should be stored in a tight, child-resistant container between 15-30°C. If any questions arise, you can contact 1(888) 721-7115.*
This text is a set of medical calculations for determining the value of Hbr for a patient. It involves multiplying the patient's age in years and weight in kg, and then multiplying the result with the patient's serum creatinine level in mg/dL. For female patients, an additional factor of 0.85 should be applied to the serum creatinine value.*
This is a chart representing the mean pain score for a study that consisted of a 3-week titration period followed by a 4-week fixed dose period. The study included a placebo group and two groups receiving different doses of gabapentin (1800 mg/day and 2400 mg/day). The chart shows the mean pain score at baseline and at various weeks throughout the study. No further information is provided.*
The given text represents a tabular data of proportion of responders in controlled PHN studies at endpoint for two studies having variables- PBO, GBP 3600, GBP 1800 and GBP 2400, and percentages- 100%, 90%, 80%, 70%, 60%, 50%, 40%, 30%, 20%, 10%, and 0%. The responders are classified as patients with a 2-50% reduction in pain score. The table also provides two significant values for both studies marked by *p<0.01 and *+p<0.001. Therefore, the text may be useful for statistical analysis and result comparisons in the medical field.*
This is a description of a medication called Gabapentin, which is available in the form of film-coated tablets containing 600mg of Gabapentin, USP. The manufacturer is Colvale-Bardez in India and the medication is marketed by BluePoint Laboratories in the US, with NDC 68001-411-00 as its identification code. One hundred tablets are contained in a package, and the medication guide must be distributed with each package. There is also information about the usual dosage, storage recommendations, and a phone number for inquiries. Finally, it is recommended to dispense the medication in a tight, child-resistant container and it should be kept out of reach of children.*
Each tablet contains 800 mg of gabapentin, USP. This medication requires a prescription and should be stored at a room temperature of 15-30°C (59-86°F). The USP Controlled Room Temperature is permitted from 20-25°C (68-77°F). Full prescribing information can be found in the package insert. The medication guide should be dispensed with the prescription and kept out of the reach of children. If you need more information, visit www.glenmarkpharma-us.com/medguidesbluspoint. Overall, this text provides a description of gabapentin medication, its dosage, storage instructions, and precautions that need to be taken.*
* 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.