Addictive behaviours 2 Flashcards
Characteristics of Addiction?
Griffiths’ Six Components of Addiction (2005):
Salience
→ Addiction dominates thoughts, emotions, and behaviour.
→ Responsibilities (work, school, relationships) are neglected.
→ Example: Gambling addiction prioritised over daily life.
Mood Modification
→ Addictive behaviour alters mood (euphoria, relief, escape).
→ Positive emotions reinforce the behaviour.
→ Example: Smokers feel calm, gamblers feel thrill.
Tolerance
→ Increasing amounts needed for same effect.
→ Body adapts, reducing impact.
→ Example: Heroin users need larger doses; gamblers raise bets.
Withdrawal Symptoms
→ Negative effects when behaviour stops.
→ Physical: Insomnia, nausea, headaches.
→ Psychological: Anxiety, depression, irritability.
→ Example: Caffeine withdrawal = headaches and fatigue.
Relapse
→ Returning to addictive behaviour after a period of abstinence.
→ Stress or emotional hardship often triggers relapse.
→ Example: Recovering alcoholic drinks during tough times.
Conflict
→ Interpersonal: Strained relationships (family, friends).
→ Intrapersonal: Internal guilt, shame, self-conflict.
→ Example: Addiction disrupts school, work, social life.
Conclusion:
→ Griffiths’ six components explain the depth and difficulty of addiction.
→ Recognising these helps in developing effective treatments.
Biological explanation 1 - dopamine
Biological Explanation of Addiction: Dopamine
The Mesolimbic Pathway
Addictive behaviours trigger dopamine release in the Ventral Tegmental Area (VTA) and the Nucleus Accumbens (NAc) (part of the brain’s reward system).
Pleasurable feelings reinforce the behaviour, making repetition more likely (positive reinforcement).
Originally evolved to reinforce survival behaviours (e.g., eating, reproduction) but now hijacked by addictive substances and behaviours.
Supported by Boileau et al. (2003): found dopamine release linked to addiction behaviours.
Key Points
1. Tolerance and Withdrawal
Downregulation: D2 dopamine receptors become less sensitive over time (Volkow et al., 1997).
Leads to tolerance: the need for more of the drug/behaviour to achieve the same effect.
Withdrawal symptoms occur when dopamine stimulation stops, causing unpleasant physical and psychological effects.
- Maintaining Addiction: The Role of the Frontal Cortex
Frontal Cortex: controls decision-making, self-control, and impulse regulation.
In addicts: reduced frontal cortex activity (shown by brain imaging - Volkow et al., 1992; Bolla et al., 2003).
Leads to:
Increased salience (overvaluing drug-related cues).
Difficulty resisting temptation, even when aware of negative consequences.
Wang et al. (1999): addicts show increased brain activation in response to drug-related cues.
Researcher Highlight: Dr Nora Volkow
Director of the National Institute on Drug Abuse (NIDA).
Major contributions:
Proved addiction changes brain structure (especially in the frontal cortex).
Showed addiction is a brain disease affecting self-control and decision-making.
Studied links between addiction and disorders like obesity and ADHD.
Emphasises how brain impairments make quitting addiction extremely difficult.
Evaluating Bological approach 1?
Applying Biological Explanation to Treat Addiction
Using Varenicline (Champix)
Varenicline acts as a partial dopamine agonist:
Blocks dopamine receptors, reducing dopamine release during addictive behaviour.
Decreases cravings and eases withdrawal symptoms.
Reduces the pleasure gained from the addictive activity (e.g., smoking).
Support for dopamine’s role:
Success of Varenicline treatment shows dopamine is crucial in maintaining addiction (Cahill et al., 2013 found Varenicline helped smokers quit more effectively than a placebo).
Evaluation of the Dopamine Explanation
1. Not all Addictive Behaviours Increase Dopamine Levels
Not all addictive behaviours consistently raise dopamine (e.g., alcohol use - Yoder et al., 2007).
Implies that other factors (e.g., social, psychological) also contribute to addiction.
- Complexity of Dopamine’s Role
Dopamine release is linked to:
Pleasure (reward).
Avoiding negative experiences (e.g., PTSD patients using addiction as an escape - Liberzon et al., 1999).
Suggests dopamine is involved in both positive and negative reinforcement.
- Methodological Issues
Lab settings often differ from real-life environments (e.g., nicotine inhalers vs. social smoking - David Nutt et al., 2015).
Small sample sizes lower reliability and make findings less representative.
- Use of Non-Human Animal Studies
Animal models (rats, mice) are useful for basic mechanisms but:
Lack the complexity of human social and emotional addiction triggers.
Limits generalisability to human addiction.
Side Note: Dopamine and Multitasking
High dopamine levels linked to:
Constant multitasking (e.g., phone checking, social media scrolling).
Cognitive overload and higher impulsivity.
Can lead to addiction-like behaviours even outside drug use (Lin et al., 2015).
Biological explantion 2? - addiciton genes
Genetic factors in addiction?
Genetic Factors in Addiction – Summary
People who are more closely related (e.g. siblings) are more likely to share addictive behaviours if genes are involved.
David Goldman et al. (2005): Found addiction is moderately to highly heritable.
Certain specific genes can increase vulnerability to addiction (e.g. nicotine addiction).
These genes may act as risk factors, making someone more likely to develop addictive behaviours.
Genes Associated with Addiction – DRD2
DRD2 gene is linked to dopamine receptors in the brain (D2 receptors).
People with a variant (A1) of this gene have fewer D2 receptors.
This means they may feel less pleasure from everyday activities.
As a result, they may turn to drugs or alcohol to boost dopamine and feel pleasure.
Noble et al. (1991): A1 variant found more often in people addicted to alcohol, cocaine, and opioids.
Blum et al. (1991) meta-analysis:
48.7% of alcoholics had the A1 variant.
Only 25% of non-alcoholics had it.
Shows link to vulnerability to alcoholism.
Other research:
A1 variant found in 50.9% of problem gamblers, compared to 25.9% of the general population.
Genes Associated with Addiction – ADH & ALDH
ADH and ALDH genes control enzymes that help metabolise alcohol.
Some variants of these genes cause alcohol to be broken down faster.
Example: ADH1B and ALDH2 variants → faster metabolism = build-up of acetaldehyde.
This build-up causes unpleasant effects (e.g. nausea, facial flushing).
People with these variants are less likely to become alcoholics – they’re put off by the side effects.
These protective gene variants are common in East Asian populations.
They are rare in European populations.
Edenberg et al. (2006) supports this finding.
The Diathesis stress model and Addiction?
Diathesis–Stress Model and Addiction
Addiction is not just caused by genes – it’s too simplistic to say it’s purely biological.
The diathesis–stress model explains addiction as the result of:
Genetic vulnerability (diathesis)
Environmental triggers (stressors)
A genetic risk only leads to addiction if stressors (like peer pressure or easy access to drugs) are present.
Example:
A gene variant affecting brain transmitters could increase addiction risk.
But it might only be triggered by environmental stress, like peer influence.
Kaufman et al. (2007):
A gene related to serotonin is linked to alcoholism,
But only in those who experienced childhood maltreatment.
Evaluation of Biological explanation 2?
The difference between initiation & maintenance
Initiation vs Maintenance – Genetic Influence
Twin studies show genetics play a role in both starting (initiation) and continuing (maintenance) addiction.
Kendler & Prescott (1998):
Studied 2,000+ female twins.
Found significant genetic influence on both:
Initiation of drug use (e.g. trying alcohol or cannabis).
Dependence (ongoing use and addiction).
Suggests genetic vulnerability affects both beginning and maintaining addictive behaviours.
Environment still plays a role, but genes increase risk.
‘Gene for’ Addiction
No single ‘addiction gene’ – the link is complex.
Genes like DRD2 and ADH are associated, but evidence is inconsistent.
E.g. Blum et al. (1991): A1 variant found in ~50% of alcoholics.
Other studies show lower rates, suggesting other factors are involved.
Having the gene ≠ automatic addiction.
Addiction involves multiple processes:
Initiation, maintenance, relapse – each may involve different genetic influences.
Determinism?
Strength: Explains why some people are more genetically vulnerable to addiction.
Criticism: Suggests addiction is biologically inevitable, reducing sense of personal control.
Seen as biologically deterministic – behaviour is viewed as caused entirely by genes.
May lead to:
People feeling helpless and less likely to seek help.
Labelling individuals as “at risk” → can cause a self-fulfilling prophecy.
Role of social and cultural factors?
riticism of genetic explanations: They often ignore environmental influences.
Kendler et al. (2003):
Twin study of 2,000+ women.
Found women born after 1940 were more likely to smoke, even if their twin didn’t.
Shows heritability of smoking = only 30% → 70% due to environment.
Environmental factors include:
Cigarette marketing, parental role models, peer pressure, and social norms.
Cultural shifts: Smoking among women has declined since the 1960s, showing the impact of changing social attitudes.
Many people experiment with substances but don’t become addicted, showing genes alone are not enough.
Suggests learning theory and peer influence are also crucial in understanding addiction.
Individual differences explanation 1 - personality?
Eysenck based his personality model on a biological theory, suggesting personality traits are related to the autonomic nervous system. He initially proposed two dimensions:
Extraversion: linked to being outgoing and sociable, driven by low arousal in the brain. People high in this trait seek stimulation (e.g. excitement from activities like drugs or gambling).
Neuroticism: linked to being nervous and emotionally unstable. He later added a third:
Psychoticism: People who score high on psychoticism (P scale) are more aggressive and impulsive.
Linking these traits to addiction
Personality Traits and Addiction
Psychoticism & Impulsivity
Linked to impulsive behaviours, e.g. reckless gambling.
Dalley et al. (2007): Impulsive rats had fewer D2 receptors → more likely to take cocaine → supports biological link.
Impulsivity can make treatment harder (e.g. leaving rehab early).
Ivanov et al. (2008): Link between impulsivity and addiction, but may be due to ADHD (also impulsive).
Neuroticism & Self-Medication
Neurotic individuals often feel anxious/stressed → may use substances for relief = self-medication theory.
Wills (1994): Adolescents high in neuroticism more likely to smoke.
Reinforcement Sensitivity Theory:
Involves Behavioural Inhibition System (BIS) – sensitive BIS = more likely to use substances to reduce anxiety.
Zuckerman (1994): High sensation-seekers more prone to addiction → crave novel/stimulating expCeeriences.
Celebrities and addictive personality
Addiction in Celebrities:
High-profile cases, like Amy Winehouse and Prince Harry, often make headlines, drawing public attention.
Media speculation frequently surrounds these celebrity struggles, contributing to stereotypes.
Celebrity Culture & Addiction:
Fame and the pressures of public life may increase vulnerability to addiction.
Constant media scrutiny, high expectations, and stress could act as triggers for addictive behaviors.
The “Addictive Personality” Stereotype:
Fans and the media sometimes link certain traits in celebrities to addiction, reinforcing the stereotype of an “addictive personality.”
This stereotype suggests certain personality traits make individuals more prone to addiction.
Personality Traits & Addiction Vulnerability:
Sensation-Seeking: Some celebrities may have a natural inclination toward risk-taking, making them more vulnerable to addiction.
Psychoticism: Traits like impulsivity, aggression, and thrill-seeking are linked to higher chances of substance abuse or gambling.
Psychological Research:
Studies suggest that personality traits like high psychoticism are associated with a greater likelihood of addiction.
The combination of certain personality traits and external pressures from fame could create a “perfect storm” for addiction.
Evaluation of indivudal differences 1
Difficulty Establishing Cause and Effect:
A key weakness of the explanation linking personality traits to addiction is that it’s hard to establish whether certain traits, like impulsivity, cause addiction or if addiction increases impulsivity.
Self-Report Issues:
Much of the research on personality and addiction relies on self-report methods, which can be subjective and unreliable.
Lack of Strong Prospective Studies:
There’s a lack of strong prospective studies (studies that track individuals over time) that support this theory.
Longitudinal studies are needed to determine whether certain personality traits predict addiction over time, but such studies are rare.
Better Research Methods:
A more ideal approach would be to examine participants before they develop an addiction, to see if their personality traits are predictive.
Supporting Evidence:
For example, Kornør and Nordvik (2007) found that high impulsivity predicted drug use two years later, which provides some support for a causal relationship.
Limitations of the Evidence:
Despite this finding, the overall evidence is still limited and inconsistent, meaning more research is needed to confirm the connection between personality and addiction.
Role of personality depends on the addictive behaviour>
An important issue is that personality traits may only be linked to certain types of addiction.
Impulsivity & Different Addictions:
For example, Kassinove and Schare (2001) suggest that gamblers are more likely to be impulsive, but impulsivity doesn’t fully explain other addictions, like nicotine addiction, which is often habitual and linked to stress.
Impulsivity May Not Apply to All Addictions:
This suggests that impulsivity might not be a factor in all types of addiction, as different addictions may have different causes.
Personality as Only Part of the Explanation:
This means that personality traits might only be part of the explanation for addiction, and other factors, such as habit and stress, could play a significant role.
The link to biological processes?
The Link to Biological Processes:
Using personality alone to explain addiction may not be enough, as there could be an underlying biological factor involved.
Dopamine and Addiction:
Research into dopamine levels has shown a link between low dopamine levels and addiction.
Joshua Buckholtz (2010) Study:
In one study, Joshua Buckholtz (2010) found that individuals high in impulsivity had lower dopamine receptors in their brain.
This could mean that these individuals are less sensitive to rewards, which may drive them to seek out more intense experiences, like drug use.
Biological Vulnerability to Addiction:
The implication of this research is that some people might be biologically more vulnerable to addiction because they experience a greater dopamine high from substances like amphetamines, making them more likely to engage in substance use.
Individual differences 2 - cogntiive biases
Cognitive Explanations of Addiction:
Cognitive explanations focus on how people think and how irrational thinking patterns (known as cognitive biases) contribute to the development and maintenance of addiction.
These thinking patterns are often illogical, distorted, or inaccurate.
Cognitive Biases and Gambling Addiction:
Research has found that specific cognitive biases are associated with gambling addiction.
Gamblers’ Fallacy:
This is the belief that after a run of one outcome, a different outcome is more likely to occur.
For example, a gambler might believe that if the roulette wheel has landed on red several times in a row, black is more likely to come up next.
Illusion of Control:
This is the belief that a person can somehow influence or control the outcome of a random event.
For example, gamblers might believe that blowing on the dice before rolling them will somehow influence the result.
The Role of Cognitive Biases in Addiction:
These biases reinforce irrational beliefs and behaviors that maintain and drive the addiction, making it difficult for individuals to break free from the cycle of gambling or other addictive behaviors.
Heuristics and Cognitive biasess?
euristics and Cognitive Biases:
Amos Tversky and Daniel Kahneman (1974) proposed that humans make decisions and solve problems using mental shortcuts known as heuristics.
Heuristics are efficient and usually helpful, but they can lead to errors in thinking—known as cognitive biases—especially when people rely on them inappropriately.
Cognitive Biases:
Cognitive biases are systematic errors in thinking that can result from the use of heuristics. These biases often lead to irrational decisions and can distort reality.
Representativeness Heuristic:
One well-known heuristic is the representativeness heuristic, where a person expects outcomes to reflect what they believe to be a representative pattern.
For example, if someone thinks that a person who is quiet and reserved is more likely to be a librarian than a salesperson, they are using this heuristic, even though statistical probability may suggest otherwise.
Impact of Heuristics on Decision-Making:
While heuristics can be efficient, they often lead to cognitive biases, influencing people’s judgments and behaviors, particularly when making decisions under uncertainty or in complex situations.
Applying these to gambling?
Applying Heuristics and Cognitive Biases to Gambling:
Many of the biases identified by Kahneman and Tversky are represented in gambling behavior, leading to irrational decisions that can contribute to addiction.
Representativeness Heuristic:
The representativeness heuristic leads gamblers to believe that future outcomes will match a typical pattern.
Example: If a roulette ball has landed on red five times in a row, the gambler may believe that black is now more likely because the outcomes must “even out” (known as the gambler’s fallacy).
This leads to the incorrect belief that randomness must balance out over time, influencing gambling decisions.
Availability Heuristic:
The availability heuristic suggests that an event is perceived as more likely if it is easier to recall.
Example: If a gambler sees someone win big in a casino or online (perhaps in an advertisement), they may overestimate the chances of winning.
Rare wins are often more memorable than frequent losses, making gamblers think winning is more likely than it actually is.
Illusion of Control:
The illusion of control occurs when gamblers believe they can control or influence outcomes that are actually determined by chance.
Example: A gambler might believe that their choice of lottery numbers is more likely to win than a random selection, even though the outcome is purely by chance.
Hindsight Bias:
Hindsight bias occurs when a gambler, after winning, believes they knew all along that the win would happen.
This reinforces the gambler’s belief in their control or skill, making them more likely to continue gambling, thinking they can replicate the win.
Self-Serving Bias:
The self-serving bias is when a gambler attributes their successes to their own skill but blames losses on bad luck or external factors.
This thinking helps maintain positive feelings about themselves, allowing them to justify further gambling and keep playing despite losses.
These cognitive biases create a distorted perception of gambling, encouraging gamblers to continue betting even when their behavior is irrational or harmful.
Evaluation of individual differences explanation 2
Supporting evidence?
supporting Evidence for Cognitive Biases in Gambling:
Griffiths (1994) Study:
Aim: Griffiths compared the verbalisations (what they said) of 30 regular gamblers and 30 non-regular gamblers while they played fruit machines.
Key Findings:
Regular gamblers made more irrational verbalisations, such as:
Talking to the machine.
Believing they were “due a win” (reflecting the gambler’s fallacy).
14% of regular gamblers believed they were skilled at the game, whereas none of the non-regular gamblers held this belief.
Conclusion:
Griffiths concluded that regular gamblers use more cognitive biases (e.g., illusion of control and gambler’s fallacy).
Implication:
This study shows a clear difference in the cognitions of regular versus non-regular gamblers and supports the idea that biases like illusion of control and the gambler’s fallacy are linked to addiction.
Description vs. Explanation in Cognitive Explanations:
One issue with cognitive explanations is that they describe the thinking patterns of addicts but don’t fully explain why these patterns occur.
For example, cognitive explanations may tell us what a gambler is thinking (e.g., believing in the gambler’s fallacy or illusion of control), but they don’t explain why these specific thought processes happen.
Need for Biological Explanations:
Some argue that explanations focused on brain biology could provide a clearer explanation of the source of these biases.
By understanding the biological mechanisms behind cognitive biases, we may gain a deeper understanding of why these thinking patterns emerge and contribute to addiction.
This highlights the limitation of cognitive explanations, suggesting that while they can describe the behaviors, they may not fully address the underlying causes of these behaviors.
Everyone Exhibits these cognitive biases?
Everyone Exhibits These Cognitive Biases:
Issue: One problem with cognitive explanations is that the same cognitive biases can also be found in non-gamblers, making it unclear why some people develop an addiction and others do not.
For example, both regular and non-regular gamblers use cognitive biases, but only regular gamblers become addicted. This raises the question: why do some people develop an addiction while others don’t, even though they share similar cognitive biases?
Biases as a Result of Addiction, Not a Cause:
Some argue that these cognitive biases may be a result of addiction, rather than its cause.
Cognitive biases could emerge after addiction has already developed, reinforcing the addictive behavior rather than explaining why it started in the first place.
Problem with Heuristics in General:
Heuristics are useful in many situations, but they can lead to errors in certain contexts.
Hayley Blaszczynski (2003):
Blaszczynski suggests that cognitive biases and heuristics are present in everyday situations, not just in problem gamblers.
What distinguishes problem gamblers is that they are unable to recognise when a heuristic is inappropriate.
Problem gamblers continue to apply heuristics (such as the illusion of control or gambler’s fallacy) in situations where they shouldn’t, especially when dealing with chance events.
This critique suggests that cognitive biases and heuristics are not exclusive to gamblers and may not be the sole explanation for addiction, as the same biases can appear in non-addicts who don’t develop gambling problems.
Attentional bias in addictive behaviour?
Attentional Bias in Addictive Behavior:
Attentional bias refers to when an individual’s attention is drawn more towards certain stimuli related to their addiction, such as objects or images associated with gambling, smoking, or substance use.
Example: Gamblers, when shown a range of images, will tend to focus more on those linked to gambling, highlighting their attentional bias.
Role in Addiction Development and Maintenance:
Attentional bias is not only linked to the development of addiction but also to its maintenance.
It is believed to play a role in relapse and the experience of craving, making this bias a powerful factor in the ongoing struggle with addiction.
Stroop Test:
The Stroop test is commonly used to measure attentional bias in addiction research.
Addicts are especially influenced by emotionally loaded cues related to their addiction.
In the Stroop task, participants are asked to name the colour of a word rather than the word itself.
For addicts, words related to their addiction (e.g., “cigarette” or “roulette”) will interfere with their ability to complete the task efficiently.
Addicts tend to respond more slowly to these emotionally loaded words, as their attention is drawn to the word itself, rather than focusing on the task at hand (naming the colour).
This explains how attentional bias can significantly impact addiction behavior, from development to relapse, and underscores its role in the ongoing struggles that addicts face.
Applying this explanation to modifying addiction
cognitive restructuring?
ognitive Restructuring in Addiction Treatment:
Cognitive restructuring is a therapeutic approach that targets faulty thinking patterns in individuals with addictions, helping them to identify and change these patterns.
Example from Gambling:
Ladouceur et al. (2001): This study demonstrated that gamblers often have the belief that they can influence the outcome of a slot machine, even though this belief is false.
During therapy, cognitive behavioural strategies (CBT) can help the gambler recognize that their belief in controlling the outcome is irrational.
Without restructuring these faulty thoughts, the gambler continues to gamble, losing money repeatedly, which reinforces the false belief that they are “due for a win.”
Cognitive restructuring helps break this cycle by addressing and correcting these distorted thoughts, making it easier for the gambler to resist the urge to gamble.
Broader Cognitive Behavioural Therapy (CBT):
NICE guidelines (2012) report that CBT can lead to positive results in treating gambling addiction.
Some sessions focus on correcting specific cognitive biases (e.g., illusion of control), while others aim to understand and address the broader factors that contribute to gambling behavior.
Conclusion:
Cognitive restructuring and CBT are effective tools in addressing the cognitive biases (like the illusion of control) that contribute to addictive behavior, especially gambling. By changing distorted thought patterns, individuals are less likely to fall into the cycle of addiction.
This demonstrates how cognitive biases are directly targeted in therapy, providing a pathway to modify addiction and reduce its impact.