While a group of individuals may all be diagnosed and meet the criteria for a substance use disorder, each member of that group may experience different symptoms and patterns of substance use, and therefore present with substance use disorder differently.
Our current diagnostic systems allows for individuals to meet the threshold for a substance use disorder with many different combinations of symptoms. The variability that exists between individuals has lead researchers to develop typologies, or measures, that can be used to explain and classify addiction, given the varying presentations and variety of symptom sub-types within the disorder.
Typologies address the different pathways of origination and risk factors such as:
Predominantly male sample with early age of onset for alcohol dependence (mean age: 19.6 years)
Moderate probability of alcohol dependence in first and second degree relatives
Lower probability of other psychiatric disorders compared to other clusters
Moderate probability of cigarette smoking and cannabis use
Elevated probability of engaging in hazardous alcohol use and experiencing withdrawal
Low probability of seeking help for alcohol use
Older, predominantly male (60%) sample (mean age: 41 years) with older age of drinking initiation (mean age: 18.6 years) and later onset of alcohol dependence (mean age: 37 years)
Moderate probability of alcohol dependence in first and second degree relatives
Moderate probability of major depression and low probability of anxiety disorders
Moderate probability of tobacco use and hazardous alcohol use
Low probability of other substance use
Lowest probability of legal problems and using despite consequences of use
Lowest probability of endorsing a reduction in activities due to alcohol
Typically drink alcohol every other day
Typically seek help through 12-step groups or private professional treatment
Predominantly male sample (66%) with an average age of drinking initiation at 17 years and average onset of alcohol dependence at 32 years
High probability of alcohol dependence in first and second degree relatives
High probability of tobacco, cannabis, and cocaine use
High lifetime prevalence of depression, bipolar disorder, generalized anxiety disorder, and obsessive compulsive disorder
Typically seek help through mutual help groups, detox programs, specialty treatment programs, or private professional treatment
Earliest onset of drinking (mean age: 15.5 years)
High probability of multigenerational alcohol dependence
High probability of major depression, bipolar disorder, social phobia, and obsessive compulsive personality disorder
High probability of other substance use disorders
Highest rate of treatment with private, professional healthcare providers
Early onset of drinking (mean age: 15.9 years) and later onset of alcohol dependence (mean age: 29 years)
Highest probability of alcohol dependence in first and second degree relatives
Highest lifetime prevalence of major depressive disorder, dysthymia, bipolar disorder, generalized anxiety disorder, social phobia, and panic disorder
High probability of cannabis, tobacco, cocaine, and opioid use
Highest probability for endorsement of withdrawal, persistent effort to cut down on use, drinking larger/longer amounts than intended, time spent recovering from alcohol, reduced activity due to drinking, and drinking despite associated consequences
Lowest percentage of days abstinent
Highest rates of mutual help attendance, specialty rehab programs, detoxification programs, and inpatient programs
Highest rate of emergency room visits due to drinking
Most recently, typologies for pharmacogenetics have emerged.
Some individuals with certain genotypes may respond better (or worse) to certain pharmacological approaches to treating substance use disorder. For example, some studies have found that individuals with alcohol dependence who possess a certain receptor gene (OPRMI mu opioid receptor gene AS40) have a better treatment response to the medication naltrexone than those who do not possess the gene.
Our current diagnostic systems allows for individuals to meet the threshold for a substance use disorder with many different combinations of symptoms. The variability that exists between individuals has lead researchers to develop typologies, or measures, that can be used to explain and classify addiction, given the varying presentations and variety of symptom sub-types within the disorder.
Typologies address the different pathways of origination and risk factors such as:
Predominantly male sample with early age of onset for alcohol dependence (mean age: 19.6 years)
Moderate probability of alcohol dependence in first and second degree relatives
Lower probability of other psychiatric disorders compared to other clusters
Moderate probability of cigarette smoking and cannabis use
Elevated probability of engaging in hazardous alcohol use and experiencing withdrawal
Low probability of seeking help for alcohol use
Older, predominantly male (60%) sample (mean age: 41 years) with older age of drinking initiation (mean age: 18.6 years) and later onset of alcohol dependence (mean age: 37 years)
Moderate probability of alcohol dependence in first and second degree relatives
Moderate probability of major depression and low probability of anxiety disorders
Moderate probability of tobacco use and hazardous alcohol use
Low probability of other substance use
Lowest probability of legal problems and using despite consequences of use
Lowest probability of endorsing a reduction in activities due to alcohol
Typically drink alcohol every other day
Typically seek help through 12-step groups or private professional treatment
Predominantly male sample (66%) with an average age of drinking initiation at 17 years and average onset of alcohol dependence at 32 years
High probability of alcohol dependence in first and second degree relatives
High probability of tobacco, cannabis, and cocaine use
High lifetime prevalence of depression, bipolar disorder, generalized anxiety disorder, and obsessive compulsive disorder
Typically seek help through mutual help groups, detox programs, specialty treatment programs, or private professional treatment
Earliest onset of drinking (mean age: 15.5 years)
High probability of multigenerational alcohol dependence
High probability of major depression, bipolar disorder, social phobia, and obsessive compulsive personality disorder
High probability of other substance use disorders
Highest rate of treatment with private, professional healthcare providers
Early onset of drinking (mean age: 15.9 years) and later onset of alcohol dependence (mean age: 29 years)
Highest probability of alcohol dependence in first and second degree relatives
Highest lifetime prevalence of major depressive disorder, dysthymia, bipolar disorder, generalized anxiety disorder, social phobia, and panic disorder
High probability of cannabis, tobacco, cocaine, and opioid use
Highest probability for endorsement of withdrawal, persistent effort to cut down on use, drinking larger/longer amounts than intended, time spent recovering from alcohol, reduced activity due to drinking, and drinking despite associated consequences
Lowest percentage of days abstinent
Highest rates of mutual help attendance, specialty rehab programs, detoxification programs, and inpatient programs
Highest rate of emergency room visits due to drinking
Most recently, typologies for pharmacogenetics have emerged.
Some individuals with certain genotypes may respond better (or worse) to certain pharmacological approaches to treating substance use disorder. For example, some studies have found that individuals with alcohol dependence who possess a certain receptor gene (OPRMI mu opioid receptor gene AS40) have a better treatment response to the medication naltrexone than those who do not possess the gene.
Our current diagnostic systems allows for individuals to meet the threshold for a substance use disorder with many different combinations of symptoms. The variability that exists between individuals has lead researchers to develop typologies, or measures, that can be used to explain and classify addiction, given the varying presentations and variety of symptom sub-types within the disorder.
Typologies address the different pathways of origination and risk factors such as:
Predominantly male sample with early age of onset for alcohol dependence (mean age: 19.6 years)
Moderate probability of alcohol dependence in first and second degree relatives
Lower probability of other psychiatric disorders compared to other clusters
Moderate probability of cigarette smoking and cannabis use
Elevated probability of engaging in hazardous alcohol use and experiencing withdrawal
Low probability of seeking help for alcohol use
Older, predominantly male (60%) sample (mean age: 41 years) with older age of drinking initiation (mean age: 18.6 years) and later onset of alcohol dependence (mean age: 37 years)
Moderate probability of alcohol dependence in first and second degree relatives
Moderate probability of major depression and low probability of anxiety disorders
Moderate probability of tobacco use and hazardous alcohol use
Low probability of other substance use
Lowest probability of legal problems and using despite consequences of use
Lowest probability of endorsing a reduction in activities due to alcohol
Typically drink alcohol every other day
Typically seek help through 12-step groups or private professional treatment
Predominantly male sample (66%) with an average age of drinking initiation at 17 years and average onset of alcohol dependence at 32 years
High probability of alcohol dependence in first and second degree relatives
High probability of tobacco, cannabis, and cocaine use
High lifetime prevalence of depression, bipolar disorder, generalized anxiety disorder, and obsessive compulsive disorder
Typically seek help through mutual help groups, detox programs, specialty treatment programs, or private professional treatment
Earliest onset of drinking (mean age: 15.5 years)
High probability of multigenerational alcohol dependence
High probability of major depression, bipolar disorder, social phobia, and obsessive compulsive personality disorder
High probability of other substance use disorders
Highest rate of treatment with private, professional healthcare providers
Early onset of drinking (mean age: 15.9 years) and later onset of alcohol dependence (mean age: 29 years)
Highest probability of alcohol dependence in first and second degree relatives
Highest lifetime prevalence of major depressive disorder, dysthymia, bipolar disorder, generalized anxiety disorder, social phobia, and panic disorder
High probability of cannabis, tobacco, cocaine, and opioid use
Highest probability for endorsement of withdrawal, persistent effort to cut down on use, drinking larger/longer amounts than intended, time spent recovering from alcohol, reduced activity due to drinking, and drinking despite associated consequences
Lowest percentage of days abstinent
Highest rates of mutual help attendance, specialty rehab programs, detoxification programs, and inpatient programs
Highest rate of emergency room visits due to drinking
Most recently, typologies for pharmacogenetics have emerged.
Some individuals with certain genotypes may respond better (or worse) to certain pharmacological approaches to treating substance use disorder. For example, some studies have found that individuals with alcohol dependence who possess a certain receptor gene (OPRMI mu opioid receptor gene AS40) have a better treatment response to the medication naltrexone than those who do not possess the gene.